Managing custom workflows for domain objects defined within microservices

Information

  • Patent Grant
  • 11775348
  • Patent Number
    11,775,348
  • Date Filed
    Thursday, February 17, 2022
    2 years ago
  • Date Issued
    Tuesday, October 3, 2023
    a year ago
Abstract
In general, various aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for generating and managing custom workflows for domain objects defined within microservices. In accordance with various aspects, a method is that comprises: receiving an attribute value for a custom workflow to include in a microservice that corresponds to an attribute defined for a workflow component; accessing mapping data for an attribute; identifying, based on the mapping data, a corresponding field of a workflows table mapped to the attribute; storing a record in the workflows table for the custom workflow with the attribute value stored in the corresponding field for the record to persist the custom workflow in the microservice.
Description
TECHNICAL FIELD

The present disclosure is generally related to systems and methods for controlling data processing operations pertaining to the development, maintenance, and installation of custom workflow programs defined within microservices.


BACKGROUND

Many enterprise software applications, services, and/or the like are provided in a software as a service (SaaS) framework. SaaS has become a common delivery model for such applications and services in which SaaS is typically supported by a cloud-based environment and accessed by users using a thin client such as a Web browser. Accordingly, microservice-based architectures are often preferable in cloud-based environments involving large, complex applications, services, and/or the like that require flexible development, deployment, and scaling.


A microservice-based architecture is implemented using multiple separate and self-contained applications, or microservices, that each provide a particular service and collectively form one or more fully functional applications within a SaaS framework, with the goal being the services can be brought to life independent of others. For various services provided through the microservices of an enterprise software application, service, and/or the like, it is often the case that these services may involve workflows through which a sequence of processes are performed for particular aspects of the services.


For example, an incidence of a particular event occurring for a particular service provided through a microservice may require a workflow to be performed for the event to evaluate and address the outcome of the event. Often such workflows are integrated into the different microservices using independent (custom) logic and/or user interfaces, which can lead to inefficiencies in maintaining workflow capabilities through the various microservices that make up the enterprise software application, service, and/or the like. Therefore, a need exists in the art for reusable, standardized configurations for implementing and managing custom workflows within different microservices used for an enterprise software application, service, and/or the like that can be associated with various domain objects of the microservices.


SUMMARY

In general, various aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for generating and managing custom workflows for domain objects defined within microservices. In accordance with various aspects, a method is provided. Accordingly, the method comprises: receiving, via a graphical user interface, a first plurality of attribute values for a custom workflow to include in a microservice, wherein each attribute value of the first plurality of attribute values corresponds to an attribute of a first plurality of attributes defined for a workflow component; accessing, by computing hardware and from a schema table defined in a repository for the microservice, mapping data for an attribute of the first plurality of attributes; identifying, by the computing hardware and based on the mapping data for the attribute of the first plurality of attributes, a corresponding field of a workflows table mapped to the attribute of the first plurality of attributes, wherein the workflows table is defined in the repository; storing, by the computing hardware, a first record in the workflows table for the custom workflow, wherein an attribute value of the first plurality of attribute values for the attribute of the first plurality of attributes is stored for the first record in the corresponding field mapped to the attribute of the first plurality of attributes; receiving, via the graphical user interface, a second plurality of attribute values for a first stage to include in the custom workflow, wherein each attribute value of the second plurality of attribute values corresponds to an attribute of a second plurality of attributes defined for a stage component; accessing, by the computing hardware and from the schema table, mapping data for an attribute of the second plurality of attributes; identifying, by the computing hardware and based on the mapping data for the attribute of the second plurality of attributes, a corresponding field of a stages table mapped to the attribute of the second plurality of attributes, wherein the stages table is defined in the repository; and storing, by the computing hardware, a first record in the stages table for the first stage to include in the custom workflow, wherein an attribute value of the second plurality of attribute values is stored for the first record in the corresponding field mapped to the attribute of the second plurality of attributes.


In some aspects, the method further comprises: receiving, via the graphical user interface, a third plurality of attribute values for a second stage to include in the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to an attribute of the second plurality of attributes; identifying, by the computing hardware and based on the mapping data for the attribute of the second plurality of attributes, the corresponding field of the stages table mapped to the attribute of the second plurality of attributes; and storing, by the computing hardware, a second record in the stages table for the second stage to include in the custom workflow, wherein an attribute value of the third plurality of attribute values is stored for the second record in the corresponding field mapped to the attribute of the second plurality of attributes.


In some aspects, the method further comprises: receiving, via the graphical user interface, a third plurality of attribute values for a first subtask to include in the first stage of the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to an attribute of a third plurality of attributes defined for a subtask component; accessing, by the computing hardware and from the schema table, mapping data for an attribute of the third plurality of attributes; identifying, by the computing hardware and based on the mapping data for the attribute of the third plurality of attributes, a corresponding field of a subtasks table mapped to the attribute of the third plurality of attributes, wherein the subtasks table is defined in the repository; and storing, by the computing hardware, a first record in the subtasks table for the first subtask to include in the first stage of the custom workflow, wherein an attribute value of the third plurality of attribute values is stored for the first record in the corresponding field mapped to the attribute of the third plurality of attributes.


In some aspects, the method further comprises: receiving, via the graphical user interface, a fourth plurality of attribute values for a second subtask to include in the first stage of the custom workflow, wherein each attribute value of the fourth plurality of attribute values corresponds to an attribute of the third plurality of attributes; accessing, by the computing hardware and from the schema table, the mapping data for the attribute of the third plurality of attributes; identifying, by the computing hardware and based on the mapping data for the attribute of the third plurality of attributes, the corresponding field of the subtasks table mapped to the attribute of the third plurality of attributes; and storing, by the computing hardware, a second record in the subtasks table for the second subtask to include in the first stage of the custom workflow, wherein an attribute value of the fourth plurality of attribute values is stored for the second record in the corresponding field mapped to the attribute of the third plurality of attributes.


In some aspects, the method further comprises: receiving, via the graphical user interface, a condition and an action for a first rule to include in the first stage of the custom workflow, wherein the condition corresponds to a first attribute defined for a rule component and the action corresponds to a second attribute defined for the rule component; for the condition: identifying, by the computing hardware and based on an identifier for the first attribute, a third record stored in the schema table for the first attribute; and identifying, by the computing hardware and based on mapping data stored in the third record of the schema table, a first field of a rules table mapped to the first attribute, wherein the rules table is defined in the repository; for the action: identifying, by the computing hardware and based on an identifier for the second attribute, a fourth record stored in the schema table for the second attribute; and identifying, by the computing hardware and based on mapping data stored in the third record of the schema table, a second field of the rules table mapped to the second attribute; and storing, by the computing hardware, a first record in the rules table for the first rule to include in the first stage of the custom workflow, wherein the condition and the action are stored for the first record in the first field and the second field, respectively.


In some aspects, the method further comprises: receiving, via the graphical user interface, an identifier for a domain object defined within the microservice and an identifier for the custom workflow; and storing, by the computing hardware, a record in a workflow assignment table defined in the repository for the microservice, the record comprising mapping data that maps the domain object to the custom workflow, wherein storing the record in the workflow assignment table results in the custom workflow being made available for use with an instance generated of the domain object. Accordingly, in some aspects, the custom workflow being made available to the instance comprises allowing a user, through a second graphical user interface, to define properties for the first stage of the custom workflow that are applicable to the instance of the domain object.


In accordance with various aspects, a system is provided comprising a non-transitory computer-readable medium storing instructions and a processing device communicatively coupled to the non-transitory computer-readable medium. Accordingly, the processing device is configured to execute the instructions and thereby perform operations that comprise: receiving, via a graphical user interface, a first plurality of attribute values defined for a custom workflow to include in a microservice, wherein each attribute value of the first plurality of attribute values corresponds to an attribute of a first plurality of attributes defined for a workflow component; for each attribute value of the first plurality of attribute values: identifying, based on an identifier for the corresponding attribute of the first plurality of attributes, a first record stored in a schema table for the corresponding attribute of the first plurality of attributes, wherein the schema table is defined in a repository for the microservice; and identifying, based on mapping data stored in the first record of the schema table, a corresponding field of a workflows table mapped to the corresponding attribute of the first plurality of attributes, wherein the workflows table is defined in the repository; storing a first record in the workflows table for the custom workflow, wherein each of the first plurality of attribute values is stored for the first record in the corresponding field mapped to the corresponding attribute of the first plurality of attributes; receiving, via the graphical user interface, a second plurality of attribute values for a first stage to include in the custom workflow, wherein each attribute value of the second plurality of attribute values corresponds to an attribute of a second plurality of attributes; for each attribute value of the second plurality of attribute values: identifying, based on an identifier for the corresponding attribute of the second plurality of attributes, a second record stored in the schema table for the corresponding attribute of the second plurality of attributes; and identifying, based on mapping data stored in the second record of the schema table, a corresponding field of a stages table mapped to the corresponding attribute of the second plurality of attributes, wherein the stages table is defined in the repository; and storing a first record in the stages table for the first stage to include in the custom workflow, wherein each of the second plurality of attribute values is stored for the first record in the corresponding field mapped to the corresponding attribute of the second plurality of attributes, and storing the first plurality of attribute values and the second plurality of attribute values persists the custom workflow in the microservice.


In some aspects, the operations further comprise: receiving, via the graphical user interface, a third plurality of attribute values for a second stage to include in the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to an attribute of the second plurality of attributes; for each attribute value of the third plurality of attribute values: identifying, based on the identifier for the corresponding attribute of the second plurality of attributes, the second record stored in the schema table for the corresponding attribute of the second plurality of attributes; and identifying, based on the mapping data stored in the second record of the schema table, the corresponding field of the stages table mapped to the corresponding attribute of the second plurality of attributes; and storing a second record in the stages table for the second stage to include in the custom workflow, wherein each of the third plurality of attribute values is stored for the second record in the corresponding field mapped to the corresponding attribute of the second plurality of attributes and a particular attribute value of the third plurality of attribute values identifies a position in a sequence of the second stage to include in the custom workflow with respect to the first stage to include in the custom workflow.


In some aspects, the operations further comprise: receiving, via the graphical user interface, a third plurality of attribute values for a first subtask to include in the first stage of the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to an attribute of a third plurality of attributes defined for a subtask component; for each attribute value of the third plurality of attribute values: identifying, based on an identifier for the corresponding attribute of the third plurality of attributes, a third record stored in the schema table for the corresponding attribute of the third plurality of attributes; and identifying, based on mapping data stored in the third record of the schema table, a corresponding field of a subtasks table mapped to the corresponding attribute of the third plurality of attributes, wherein the subtasks table is defined in the repository; and storing a first record in the subtasks table for the first subtask to include in the first stage of the custom workflow, wherein each of the third plurality of attribute values is stored for the first record in the corresponding field mapped to the corresponding attribute of the third plurality of attributes.


In some aspects, the operations further comprise: receiving, via the graphical user interface, a fourth plurality of attribute values for a second subtask to include in the first stage of the custom workflow, wherein each attribute value of the fourth plurality of attribute values corresponds to an attribute of the third plurality of attributes; for each attribute value of the fourth plurality of attribute values: identifying, based on the identifier for the corresponding attribute of the third plurality of attributes, the third record stored in the schema table for the corresponding attribute of the third plurality of attributes; and identifying, based on the mapping data stored in the third record of the schema table, the corresponding field of the subtasks table mapped to the corresponding attribute of the third plurality of attributes; and storing a second record in the subtasks table for the second subtask to include in the first stage of the custom workflow, wherein each of the fourth plurality of attribute values is stored for the second record in the corresponding field mapped to the corresponding attribute of the third plurality of attributes.


In some aspects, the operations further comprise: receiving, via the graphical user interface, a condition and an action for a first rule to include in the first stage of the custom workflow, wherein the condition corresponds to a first attribute defined for a rule component and the action corresponds to a second attribute defined for the rule component; for the condition: identifying, based on an identifier for the first attribute, a third record stored in the schema table for the first attribute; and identifying, based on mapping data stored in the third record of the schema table, a first field of a rules table mapped to the first attribute, wherein the rules table is defined in the repository; for the action: identifying, based on an identifier for the second attribute, a fourth record stored in the schema table for the second attribute; and identifying, based on mapping data stored in the third record of the schema table, a second field of the rules table mapped to the second attribute; and storing a first record in the rules table for the first rule to include in the first stage of the custom workflow, wherein the condition and the action are stored for the first record in the first field and the second field, respectively.


In some aspects, the operations further comprise: receiving, via the graphical user interface, an identifier for a domain object defined within the microservice and an identifier for the custom workflow; and storing a record in a workflow assignment table defined in the repository for the microservice, the record comprising mapping data that maps the domain object to the custom workflow, wherein storing the record in the workflow assignment table results in the custom workflow being made available for use with an instance generated of the domain object. Accordingly, in some aspects, the custom workflow being made available to the instance comprises allowing a user, through a second graphical user interface, to define properties for the first stage of the custom workflow that are applicable to the instance of the domain object.


In addition in accordance with various aspects, a non-transitory computer-readable medium having program code that is stored thereon. In particular aspects, the program code executable by one or more processing devices performs operations that comprise: receiving, via a graphical user interface, a first attribute value for a custom workflow to include in a microservice, wherein the first attribute value corresponds to a first attribute defined for a workflow component; identifying, based on an identifier for the first attribute defined for the workflow component, a first record stored in a schema table for the first attribute, wherein the schema table is defined in a repository for the microservice; identifying, based on mapping data stored in the first record of the schema table, a corresponding field of a workflows table mapped to the first attribute defined for the workflow component, wherein the workflows table is defined in the repository; storing a first record in the workflows table for the custom workflow, wherein the first attribute value is stored for the first record in the corresponding field mapped to the first attribute defined for the workflow component; receiving, via the graphical user interface, a second attribute value for a first stage to include in the custom workflow, wherein the second attribute value corresponds to a first attribute defined for a stage component; identifying, based on an identifier for the first attribute defined for the stage component, a second record stored in the schema table for the first attribute defined for the stage component; identifying, based on mapping data stored in the second record of the schema table, a corresponding field of a stages table mapped to the first attribute defined for the stage component, wherein the stages table is defined in the repository; and storing a first record in the stages table for the first stage to include in the custom workflow, wherein the second attribute value is stored for the first record in the corresponding field mapped to the first attribute defined for the stage component, and storing the first attribute value and the second attribute value persists the custom workflow in the microservice.


In some aspects, the operations further comprise: receiving, via the graphical user interface, a third attribute value for a second stage to include in the custom workflow, wherein the third attribute value corresponds to the first attribute defined for the stage component; identifying, based on the identifier for the first attribute defined for the stage component, the second record stored in the schema table for the first attribute defined for the stage component; identifying, based on the mapping data stored in the second record of the schema table, the corresponding field of the stages table mapped to the first attribute defined for the stage component; and storing a second record in the stages table for the second stage to include in the custom workflow, wherein the third attribute value is stored for the second record in the corresponding field mapped to the first attribute defined for the stage component.


In some aspects, the operations further comprise: receiving, via the graphical user interface, a third attribute value for a first subtask to include in the first stage of the custom workflow, wherein the third attribute value corresponds to a first attribute defined for a subtask component; identifying, based on an identifier for the first attribute defined for the subtask component, a third record stored in the schema table for the first attribute defined for the subtask component; identifying, based on mapping data stored in the third record of the schema table, a corresponding field of a subtasks table mapped to the first attribute defined for the subtask component, wherein the subtasks table is defined in the repository; and storing a first record in the subtasks table for the first subtask to include in the first stage of the custom workflow, wherein the third attribute value is stored for the first record in the corresponding field mapped to the first attribute defined for the subtask component.


In some aspects, the operations further comprise: receiving, via the graphical user interface, a condition and an action for a first rule to include in the first stage of the custom workflow, wherein the condition corresponds to a first attribute defined for a rule component and the action corresponds to a second attribute defined for the rule component; for the condition: identifying, based on an identifier for the first attribute defined for the rule component, a third record stored in the schema table for the first attribute defined for the rule component; and identifying, based on mapping data stored in the third record of the schema table, a first field of a rules table mapped to the first attribute defined for the rule component, wherein the rules table is defined in the repository; for the action: identifying, based on an identifier for the second attribute defined for the rule component, a fourth record stored in the schema table for the second attribute defined for the rule component; and identifying, based on mapping data stored in the third record of the schema table, a second field of the rules table mapped to the second attribute defined for the rule component; and storing a first record in the rules table for the first rule to include in the first stage of the custom workflow, wherein the condition and the action are stored for the first record in the first field and the second field, respectively.


In some aspects, the operations further comprise: receiving, via the graphical user interface, an identifier for a domain object defined within the microservice and an identifier for the custom workflow; and storing a record in a workflow assignment table defined in the repository, the record comprising mapping data that maps the domain object to the custom workflow, wherein storing the record in the workflow assignment table results in the custom workflow being made available for use with an instance generated of the domain object. Accordingly, in some aspects, the custom workflow being made available to the instance comprises allowing a user, through a second graphical user interface, to define properties for the first stage of the custom workflow that are applicable to the instance of the domain object.





BRIEF DESCRIPTION OF THE DRAWINGS

In the course of this description, reference will be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:



FIG. 1 depicts an example of a microservice-based enterprise software application that may involve various aspects of the present disclosure;



FIG. 2 depicts an example of a computing environment that can be used for generating and managing custom workflows for use within a microservice in accordance with various aspects of the present disclosure;



FIG. 3 depicts an example of a repository architecture in accordance with various aspects of the present disclosure;



FIG. 4 depicts additional features of an example of the repository architecture in accordance with various aspects of the present disclosure;



FIG. 5 depicts an example of a process for creating a custom workflow for a microservice in accordance with various aspects of the present disclosure;



FIG. 6 depicts an example of a process for creating a stage of a custom workflow in accordance with various aspects of the present disclosure;



FIG. 7 depicts an example of a process for creating a subtask of a stage in accordance with various aspects of the present disclosure;



FIG. 8 depicts an example of a process for creating a rule of a custom workflow in accordance with various aspects of the present disclosure;



FIG. 9 depicts an example of a process for publishing a custom workflow in accordance with various aspects of the present disclosure;



FIG. 10 depicts an example of a graphical user interface that may be used in accordance with various aspects of the present disclosure;



FIG. 11 depicts another example of a graphical user interface that may be used in accordance with various aspects of the present disclosure;



FIG. 12 depicts another example of a graphical user interface that may be used in accordance with various aspects of the present disclosure;



FIG. 13 depicts another example of a graphical user interface that may be used in accordance with various aspects of the present disclosure;



FIG. 14 depicts another example of a graphical user interface that may be used in accordance with various aspects of the present disclosure;



FIG. 15 depicts another example of a graphical user interface that may be used in accordance with various aspects of the present disclosure;



FIG. 16 depicts an example of a system architecture that may be used in accordance with various aspects of the present disclosure; and



FIG. 17 depicts an example of a computing entity that may be used in accordance with various aspects of the present disclosure.





DETAILED DESCRIPTION

Overview and Technical Contributions of Various Aspects


As noted, many enterprise software applications, services, and/or the like are provided in a software as a service (SaaS) framework supported by a cloud-based environment. Accordingly, microservice-based architectures are often preferable in cloud-based environments involving large, complex applications, services, and/or the like that require flexible development, deployment, and scaling. A microservices application, for example, may be implemented using multiple separate and self-contained applications, or microservices, that each provide a particular service and collectively form one or more fully functional applications within a SaaS framework.


A microservice is often viewed as focused on producing a particular task. For example, an enterprise software application may be offered that provides a platform for various entities (e.g., organizations) to operationalize privacy, security, and data governance. The enterprise software application may provide a number of different services to these entities that can be used in operationalizing privacy, security, and data governance. For example, many entities that handle certain types of data, such as personal data of individuals, may be required to ensure the data is handled in a secure manner to minimize the risk of experiencing a data-related incident involving the data such as a breach, theft, and/or the like of the data. Therefore, the enterprise software application may provide a service, implemented through a microservice, in evaluating various data assets of an entity that are used in handling the data to identify and address vulnerabilities of the data assets that can expose the data to a significant risk of experiencing some type of data incident involving the data, such as a data breach leading to the unauthorized access of the data, a data loss event, etc.


As a specific example, a data asset for an entity may be a database, data repository, server, router, and/or the like that handles certain data for the entity (e.g., stores, processes, transfers, collects, and/or the like the certain data for the entity). The entity may be interested in identifying any vulnerabilities of the data asset that may expose the entity to a data-related incident involving the certain data. Therefore, the entity may load information on the data asset into the service provided through the enterprise software application and utilize the service in evaluating the data asset and its handling of the certain data. In conducting the evaluation, the service may identify a risk posed by the data asset handling the certain data. For instance, the service may identify that the certain data is transferred through the data asset in manner that can allow for the data to be intercepted by an unauthorized third party. Accordingly, the service may provide a risk management process for evaluating the identified risk and based on the evaluation, implement a plan to address (e.g., mitigate) the risk. Here, the service may implement a risk management process within the microservice via a workflow that can be executed to perform the risk management process.


The microservice may be configured according to an object model that defines domain objects that represent various meaningful elements to a domain applicable to the service. For example, a domain object that the microservice can define within the microservice associated with the risk evaluation service is “risk,” itself. The microservice may define the domain object “risk” within the microservice through a class. For example, the domain object “risk” can be implemented as a Plain Old Java Object (POCO).


Accordingly, the microservice can use the class defined for the domain object “risk” in implementing both behavior and data attributes for the domain object. A behavior that can be defined for the domain object “risk” is the workflow executed to perform the risk management process. Once assigned, when the class for the domain object “risk” is instantiated to generate a specific instance of the domain object “risk,” the instance of the domain object includes the behavior defining the workflow so that the service can then execute the workflow to perform the risk management process for the instance of the domain object “risk.” For example, when the domain object “risk” is instantiated to generate an instance representing the risk imposed by the data asset transferring the certain data in a manner that can allow for the data to be intercepted by an unauthorized third party, the instance representing this specific risk includes the behavior defining the workflow so that the workflow can be executed to conduct the risk management process for the risk.


A workflow may comprise various components that are involved in performing the process associated with the workflow. For example, a workflow may involve various steps, stages, operations, and/or the like that are encountered in performing the workflow. In addition, different tasks may be involved in the various steps, stages, operations, and/or the like. Further, the microservice may define various attributes for the various components (e.g., for the different tasks and/or the various steps, stages, operations, and/or the like) that can make up a workflow. Furthermore, different (custom) workflows can be defined within a microservice (and/or across different microservices) that use different combinations of these components and/or attributes thereof. Therefore, personnel (e.g., teams) who are responsible for constructing and/or maintaining a microservice are also typically responsible for defining (implementing) the custom workflows that are to be utilized within the microservice.


For the team to define these custom workflows, the various components, and attributes thereof that can be used within the custom workflows need to persist in the microservice so that the components and attributes are available for use in building out a particular custom workflow. The team responsible for the microservice generally accomplishes this task through the use of a repository defined for the microservice. For example, the repository may be a relational database in which tables and/or fields of tables found within the database are mapped to the various components and/or attributes that can be used within the custom workflows. The team is then able to build a specific custom workflow for the microservice by utilizing the tables and/or fields in storing values for various components and/or attributes used in constructing the custom workflow. Once a custom workflow is built, the team can then associate the workflow with a particular domain object to define the workflow as a behavior for the domain object.


However, a technical challenge that is often encountered by a team in constructing custom workflows for a microservice is designing and implementing the various components and attributes thereof necessary for constructing the custom workflows. Here, different teams for different microservices may design and implement different “core” components that are used in constructing a custom workflow. For example, a first team responsible for a first microservice may design the core components to simply include a workflow component and a task component where the workflow component is used to represent a custom workflow and the task component is used to represent various tasks that can be defined for performing for the custom workflow. In another example, a second team for a second microservice may design the core components to include a workflow component, a step component, and a subtask component where the workflow component is used to represent a custom workflow, the step component is used to represent sequential steps involved in the custom workflow, and the subtask component is used to represent various tasks that can be performed at the various steps of the custom workflow. The different teams may also design and implement different attributes for these core components.


Accordingly, clients of the first and second microservices who want to make use of these custom workflows are then required to recognize and understand the different configurations of the components and attributes that make up the custom workflows in the two (e.g., or more) microservices. That is to say, clients who want to use custom workflows in the first microservice must understand that the custom workflows for the first microservice have a configuration that includes workflow components and task components. In addition, these same clients who also want to use custom workflows in the second microservice must understand that the custom workflows for the second microservice have a configuration that includes workflow components, step components, and subtasks components. These differences (inconsistencies) in configurations of custom workflows between the first microservice and the second microservice can become quite frustrating for these clients who are utilizing the custom workflows in the first and second microservices. Such frustration can become even more significant when differences (inconsistencies) in configurations of components and attributes thereof that make up custom workflows is encountered by clients across a multitude of microservices (services). That is to say, clients may become frustrated with the different “look and feel” of custom workflows available across the different services provided through the different microservices.


Another technical challenge that is often encountered by a team in constructing custom workflows for a microservice is designing and implementing the tables and fields necessary for persisting the various components and attributes thereof used in constructing the custom workflows for the microservice. Again, a team responsible for a particular microservice may implement any number of different configurations to persist the components and attributes. However, these different configurations may not always deliver equal performance for operations involving the components and attributes such as storing, fetching, deleting, updating, and/or the like values defined for the different components and/or attributes for a custom workflow. As a result, clients of different microservices, using different configurations for persisting custom workflows, may experience inconsistent performance with respect to executing custom workflows for various instances of data objects defined within the different microservices.


Yet, another technical challenge that is often encountered by a team in constructing custom workflows for a microservice is the team is often required to design and implement endpoints (e.g., points of entry) within the microservice that are used in communicating with the repository to perform operations involving the components and/or attributes thereof defined for a custom workflow. For example, the team may need to design and implement endpoints that allow communication with the repository to persist (store) certain components and/or attributes thereof selected for defining a particular custom workflow for the microservice. Such design and implementation may involve generating a mapping between the various components and attributes available to include in a custom workflow to their corresponding tables and fields found in the repository. In addition, the team may also be required to design and implement custom user interfaces for using these endpoints in defining, implementing, and managing custom workflows for the microservice. All of which can require significant resources and time with respect to developing program code for implementing the various endpoints, as well as the user interfaces for using the endpoints.


Various aspects of the present disclosure overcome many of the technical challenges associated with generating, defining, and managing custom workflows for a microservice, as detailed above. In particular, various aspects of the disclosure involve the use of a novel approach for providing a set of core components used in generating custom workflows through the inclusion of a library within a microservice. The library includes an object for each of the core components. For example, each of the objects may be a Java Persistence Application Programming Interface (JPA) entity. Once the library has been included in a microservice, the library includes code that builds out the necessary tables and mapping data to persist the core components in the repository of the microservice. The mapping data includes a mapping of the core components (e.g., the objects thereof) to their corresponding tables found in the repository. Once persisted, these core components, via the objects, mapping data, and tables, can be used in constructing custom workflows for the microservice. In addition, the library includes code that builds out the necessary fields of the tables and mapping data to persist attributes for the core components in the repository of the microservice. The mapping data includes a mapping of the attributes defined for each of the core components (e.g., attributes defined for the objects thereof) to their corresponding fields found in the appropriate table for the core component. The attributes of the different core components can be used in defining properties of custom workflows constructed for the microservice. In some aspects, these core components can include a workflow component, a stage component, a subtask component, and a rule component. Further, the library includes standardized endpoints to facilitate communication with the core components. Therefore, inclusion of the library in the microservice exposes these endpoints to the microservice and provides communication channels with the core components that can be used in implementing custom workflows.


The workflow component can represent a custom workflow designed and installed for the microservice. The stage component can be used in representing a stage to include in a custom workflow. The subtask component may be used in representing a subtask that can be performed within a particular stage of a custom workflow. The rule component may be used in representing a rule that controls one or more actions that are performed within the custom workflow based on one or more conditions.


As a specific example, a custom workflow may need to be implemented into a microservice for a risk management process. The risk management process may be used for evaluating an identified risk and based on the evaluation, implementing a plan to address (e.g., mitigate) the risk. Therefore, the core components can be used in representing various features of the risk management process to generating a custom workflow within the microservice for the risk management process. Accordingly, the workflow component is used to represent the custom workflow, itself, within the microservice. In the specific example, an instance of the workflow component (object thereof) is generated to represent the risk management process that involves storing values for attributes defined for the workflow component in the appropriate table found in the repository for the microservice. For instance, a value providing a name for the custom workflow (e.g., “risk management process”) can be stored in a corresponding field (e.g., “Name” field) of the appropriate table.


The stage component is used to represent a stage that can be defined within a workflow to organize a group of features for the custom workflow. For example, a stage can be used in organizing a group of related tasks to perform for the custom workflow. Often, the stages of a custom workflow are performed in a sequence. Looking at the specific example, the stage component can be used to represent a particular stage performed for the risk management process that comprises an evaluation stage conducted for the risk management process that involves conducting an evaluation for the identified risk to assess the risk's severity. An instance of the stage component (object thereof) is generated to represent the evaluation stage that involves storing values for attributes defined for the stage component in the appropriate table found in the repository for the microservice. For instance, a value providing a position of the evaluation stage in a sequence of stages to be performed for the risk management process (e.g., “1”) can be stored in a corresponding field (e.g., “Sequence” field) of the appropriate table.


The subtask component is used to represent a subtask that can be performed during a stage of the custom workflow. A subtask may be performed during a stage to accomplish some type of work, activity, process, exercise, and/or the like. A subtask may be performed manually or through an automated process. Looking at the specific example, the subtask component can be used to represent a particular subtask that can be performed during the evaluation stage of the risk management process that comprises a scoring subtask that involves scoring and quantifying a level of risk for the identified risk to measure the risk's severity. An instance of the subtask component (object thereof) is generated to represent the scoring subtask that involves storing values for attributes defined for the subtask component in the appropriate table found in the repository for the microservice. For instance, a value identifying whether the scoring subtask is required to be performed during the evaluation stage (e.g., “TRUE”) can be stored in a corresponding field (e.g., “Required” field) of the appropriate table.


The rule component is used to represent a rule that controls one or more actions that are performed within the custom workflow based on one or more conditions. The microservice, in executing an instance of the custom workflow, can carry out the one or more actions in an automated manner. Looking at the specific example, the rule component can be used to represent a notification rule that involves automatically sending an electronic notification to risk management personnel if the risk score satisfies a threshold value. Accordingly, a hook point can be defined for the rule that identifies where during the custom workflow that the microservice evaluates the one or more conditions defined for the rule. For instance, the hook point for notification rule may be defined as the completion of the scoring subtask. An instance of the rule component (object thereof) is generated to represent the notification rule that involves storing values for hook point, condition(s), and action(s) defined for the rule component in the appropriate table found in the repository for the microservice. For instance, a value identifying the hook point for the notification rule (e.g., “H1”) can be stored in a corresponding field (e.g., “Hook_ID” field) of the appropriate table.


In addition, various aspects of the disclosure involve the use of a novel workflow management engine that executes functions for generating, implementing, and managing custom workflows for the microservice. For instance, a create workflow module accessible via the workflow management engine can create a new custom workflow for the microservice and persist the new custom workflow within the microservice. The create workflow module uses one or more standardized endpoints in communicating with the repository of the microservice and storing the custom workflow within the repository. Here, the create workflow module can use the standardized endpoint(s) to access the workflow component (object thereof) and identify, using mapping data defined for the workflow component, a workflows table installed within the repository, as well as the fields of the workflows table that are used to store values for various attributes of the custom workflow.


In addition, the workflow management engine can provide access to other modules creating other core components (e.g., stages, subtasks, rules, etc.) for a custom workflow defined for the microservice and persisting these other core components for the custom workflow within the microservice. For instance, a create stage module accessible via the workflow management engine can create a stage to include in a custom workflow defined for the microservice and persist the stage for the custom workflow within the microservice. Similar to the create workflow module, the create stage module can use one or more standardized endpoints in communicating with the repository of the microservice and storing the stage for the custom workflow within the repository.


Finally, a publish workflow module accessible via the workflow management engine can publish a custom workflow defined for the microservice. Publishing the custom workflow makes the custom workflow available to define as behavior for a particular domain object of the microservice. The publish workflow module can use one or more standardized endpoints communicating with the repository of the microservice in publishing the custom workflow by changing a status value for the custom workflow (e.g., changing a value stored in a status attribute for the custom workflow).


Accordingly, the novel library and/or workflow management engine can be included in multiple microservices that are implemented for an enterprise software application to provide capabilities within the microservices to generate and persist custom workflows within the microservices. Once generated and persisted, these custom workflows can be published and associated with domain objects defined within the microservices. As a result, the custom workflows become available for execution with respect to instances generated for their respective domain objects.


According to various aspects, the inclusion of the novel library and/or workflow management engine within the different microservices for the enterprise software application establishes a set of core components and attributes thereof to be used in generating custom workflows within the microservices that is common across all the different microservices. As a result, teams who are responsible for the different microservices are no longer required to design and implement their own versions of custom workflows within the different microservices. Therefore, these teams do not have to expend resources in developing the core components and attributes needed to implement custom workflows within their microservices. In addition, the common set of core components and attributes across the different microservices provides clients of the microservices (the services implemented by the microservices) with the experience a similar “look and feel” of workflows across the different microservices.


Further, the inclusion of the novel library and/or workflow management engine within the different microservices for the enterprise software application provides a set of standardized endpoints that communicate with the core components (objects thereof) to gain access to mapping data used in generating, implementing, and managing custom workflows within the microservices. Therefore, the teams who are responsible for the different microservices are also no longer required to design and implement their own versions of endpoints within the different microservices. These standardized endpoints can facilitate quicker development of user interfaces used for generating, implementing, and managing custom workflows within the microservices. Furthermore, the standardized endpoints can allow for development and implementation of standardized user interfaces across the different microservices for such tasks. As a result, the various teams for the different microservices are no longer required to expend as many resources, or expend any resources at all, in developing user interfaces for these tasks.


The disclosure is provided herein in the context of using a microservice-based architecture for an enterprise software application. However, various aspects described in this disclosure can be used for a microservice-based architecture that involves a variety of other applications besides an enterprise software application. For example, various aspects of the disclosure are applicable to a microservice-based architecture used for mobile applications such as a mobile banking application, a media content application, an Internet of things (IoT) application, and/or the like. In another example, various aspects of the disclosure are applicable to a microservice-based architecture used for web applications such as an e-commerce website, corporate website, media website, and/or the like. Therefore, the disclosure provided herein involving the use of a microservice-based architecture for an enterprise software application should not be viewed as limiting the scope of various aspects of the disclosure.


Example Computing Environment



FIG. 1 depicts an example of a microservice-based enterprise software application 100. In the depicted example, a cloud environment 110 hosts the application that is composed of a plurality of microservices 115 utilized by various services provided through the enterprise software application 100. Here, each of the microservices 115 need to implement custom workflows for various domain objects defined within the microservices 115. Therefore, the novel workflow management engine 120 and library 121 may be installed within each of the microservices 115.


The inclusion of the library 121 in a particular microservice 115 results in the library 121 exposing the core components and attributes thereof to the microservice 115 by building out the tables and fields required for persisting the core components and attributes thereof in a repository of the microservice 115. For example, the library may provide these core components as Java Persistence Application Programming Interfaces (JPAs) entities. In addition, the inclusion of the library 121 exposes mapping data for the core components and attributes thereof. The mapping data maps each of the core components to their corresponding table in the repository and the each of the attributes for a core component to the attribute's corresponding field of the table. Further, the inclusion of the library 121 exposes standardized endpoints needed to communicate with the core components, and thus the tables and fields of the core components, in generating, implementing, and managing custom workflows for the microservice 115. For example, these standardized endpoints may be representational state transfer (REST) application programming interfaces (APIs).


The inclusion of the workflow management engine 120 in a particular microservice 115 provides access to various modules that can use the standardized endpoints for generating, implementing, and managing custom workflows for the microservice 115. In addition, the workflow management engine 120 according to particular aspects may provide one or more user interfaces (e.g., graphical user interfaces) for the various modules that can be used by teams in executing the modules.


Accordingly, the workflow management engine 120 and library 121, each of which can be installed in each microservice 115 implemented for various services provided through the enterprise software application, can provide a reusable mechanism for implementing custom workflow capabilities into the various services. In addition, the workflow management engine 120 and library 121 can standardize how such custom workflows are implemented within each of the services. This standardization can reduce the resources expended on separately designing and developing core components and architecture necessary for implementing custom workflows specific to a microservice 115. Instead, the workflow management engine 120 and library 121, which can be included in any of the microservices 115, provides these custom workflow capabilities within each microservice 115. Furthermore, this standardization provides, to a given client (e.g., within a particular tenant of a SaaS system), a similar “look and feel” with respect to custom workflows across the various services provided through the microservices 115. Such standardization in the “look and feel” of different custom workflows can make these workflows more intuitive, since a user can infer how to operate controls and functions in a custom workflow that the user has not yet encountered based on the similar look and feel of controls and functions in a different custom workflow with which the user is familiar. This standardization in the end user experience can increase the utility of these custom workflows within a software environment (e.g., a tenant of a SaaS system).


Turning now to FIG. 2, this figure depicts an example of a computing environment 200 that can be used for generating, implementing, and managing custom workflows within a microservice 115 implemented as part of an enterprise software application according to various aspects. In this example, the microservice 115 can provide a particular service, or task thereof, that is available through the enterprise software application 100.


The microservice 115 includes a data repository 180 used in storing data for the microservice 115. For example, the repository 180 may be a relational database that stores data for domain objects utilized by the microservice 115. Inclusion of the library 121 (not pictured in FIG. 2) in the microservice 115 results in tables and fields being built out in the repository 180 to support custom workflow capabilities for the microservice. One or more of the tables may be used in the repository 180 for storing mapping data for the custom workflows. As further discussed herein, the mapping data provides a mapping of core components (and attributes thereof) of custom workflows to tables and the fields defined therein that are used for storing values for the attributes of these core components. Specifically, these fields can be used in storing values for attributes associated with specific configurations of custom workflows designed for the microservice 115.


In addition, the microservice 115 includes a workflow management engine 120 that provides access to various modules that can be used in generating, implementing, and managing custom workflows within the microservice 115. In this example, the workflow management engine 120 includes a create workflow module 130, a create stage module 140, a create subtask module 150, a create rule module 160, and publish workflow module 170. Two or more of these modules can be executed in collaboration to create a new custom workflow within the microservice 115


The create workflow module 130 can be executed to generate a new custom workflow within the microservice 115. The create workflow module 130 can store values for various attributes of the new custom workflow as defined by a user. The create workflow module 130 accomplishes this task by utilizing one or more standardized endpoints to communicate with the workflow component (object thereof) to access the mapping of the selected attributes for the new custom workflow to various fields of a workflows table defined in the repository 180.


The create stage module 140 can be executed to add a stage into a particular custom workflow. The create stage module 140 can stores values for various attributes of the stage selected for inclusion in the stage of a custom workflow. The create stage module 140 accomplishes this task by utilizing one or more standardized endpoints to communicate with the stage component (object thereof) to access the mapping of the selected attributes for the stage to various fields of a stages table found in the repository 180.


The create subtask module 150 can be executed to add a subtask into a stage of a particular custom workflow. A subtask is a task performed during the stage of a custom workflow to accomplish some type of work, activity, process, exercise, and/or the like involved in executing the custom workflow. In one example, a subtask may be an activity such as “performing an evaluation of particular risk identified for a data asset.” In another example, a subtask may be an activity such as “identifying an access control to be applied to a data asset in order to mitigate or otherwise address a risk identified for the data asset.” Similar to the create stage module 140 and create workflow module 130, the create subtask module 150 according to particular aspects stores values for various attributes of the subtask selected for inclusion in the subtask of the new custom workflow. The create subtask module 150 accomplishes this task by utilizing one or more standardized endpoints to communicate with the subtask component (object thereof) to access the mapping of the selected attributes for the subtask to various fields of a subtasks table found in the repository 180.


The create rule module 160 can be executed to add a rule related to a component (e.g., a stage) of a particular custom workflow. An example of a rule is a set of code that executes one or more actions in response to one or more conditions being met. A rule for a component of a custom workflow can impose one or more controls on that component. For instance, a rule can be included in a stage of a custom workflow that involves sending a notification (e.g., an email) to specific personnel when a risk identified for a data asset is evaluated as high.


As discussed further herein, multiple “hook” points (e.g., the beginning or end of a custom workflow, a stage, a subtask, etc.) are defined throughout a custom workflow that can be used in implementing a rule. A computing system executing an instance of a custom workflow implements the rule at a certain hook point of the custom workflow by, for example, evaluating the condition(s) for the rule in response to encountering the hook point in the execution of the custom workflow instance. An example of an “instance” of a custom workflow being executed is an execution of the custom workflow for a particular instance of a domain object associated with the custom workflow. For example, if a rule is inserted into to a custom workflow at the beginning of a stage, then the condition(s) for the rule are evaluated when the stage begins during execution of an instance of the custom workflow.


The create rule module 160 can store values for the condition(s) and action(s) of the rule selected for inclusion at the hook point for the new custom workflow. The create rule module 160 accomplishes this task by utilizing one or more standardized endpoints to communicate with the rule component (object thereof) to access the mapping of the condition(s) and action(s) for the rule to various fields of a rules table found in the repository 180.


The publish workflow module 170 can be executed to publish a particular custom workflow to make the workflow available within the microservice 115. In addition, the publish workflow module 170 can link or otherwise associate a custom workflow with a particular domain object defined for the microservice 115. As a result, the custom workflow (e.g., an instance of the custom workflow) is then available for execution for an instance generated of the particular domain object. The publish workflow module 170 can store the association between the custom workflow and the domain object in the microservice 115 by utilizing one or more standardized endpoints to store a record that maps the association in a workflow assignment table found in the repository 180 of the microservice 115.


According to various aspects, the workflow management engine 120 provides personnel 126 (e.g., team members) with access to one or more of these modules 130, 140, 150, 160, 170 available through via one or more user interfaces 125. For example, the one or more user interfaces 125 may comprise one or more webpages provided through a website that is in communication with the microservice 115. The user interfaces 125 may be standardized user interfaces that have been provided along with the library 121 and/or workflow management engine 120 that can be used by the personnel 126 in generating, implementing, and/or managing custom workflows for the microservice 115. However, in other instances, the personnel 126 may build custom user interfaces 125 that communicate with the various modules 130, 140, 150, 160, 170 available through the workflow management engine 120.


Repository Architecture



FIGS. 3 and 4 depict an example of a repository architecture 300 that can be used in accordance with various aspects of the present disclosure. Specifically, the data repository 180 (e.g., the data repository 180 shown in FIG. 2), when based on the architecture 300 shown in FIGS. 3 and 4, can be used according to various aspects in persisting custom workflows (e.g., core components and attributes thereof) for use within a microservice 115. Accordingly, such an architecture 300 can be included in multiple microservices 115 that compose an enterprise software application to persist custom workflows over the microservices 115 so that the custom workflows are available within various services provided by the enterprise software application.


The enterprise software application may provide several different services. These services may utilize custom workflows associated with different domain objects for representing various entity and/or value objects used within the services. For example, the enterprise software application may provide a risk evaluation service through the enterprise software application that allows an entity (e.g., organization) to evaluate different data assets found within computing systems of the entity that are used in handling certain types of data such as personal data of individuals, referred to as data subjects. Here, the enterprise software application may receive, via one or more user inputs, information on a particular data asset so that a risk evaluation can be conducted on the data asset to identify any risks that may exist in having the data asset handle the certain type of data. Therefore, a domain object that may be defined and used within the risk evaluation service is “data asset.” In addition, another domain object that may be defined and used within the risk evaluation service is “risk.”


For a risk that has been identified for the data asset, the risk evaluation service (or some other service) may provide a risk management process for evaluating a particular risk identified for the data asset, and based on the evaluation, implement a plan for managing the risk by implementing actions to address/mitigate the risk and/or to monitor the risk. Therefore, the risk management process may need to be implemented within a microservice 115 so that it is available within the risk evaluation service. To do so, the team responsible for the microservice 115 may need to implement a custom workflow within the microservice 115 that the microservice can execute to perform the risk management process.


The repository architecture 300 may include one or more data structures (e.g., tables) used for implementing such a custom workflow. The data structures can store mapping data that maps attributes of core components, which can be used in constructing custom workflows, to data elements (e.g., fields for tables) that store values for the attributes with respect to particular custom workflows that are generated for the microservice 115. The remainder of the disclosure refers to tables and fields as the data structures and data elements used within the repository 180 for persisting custom workflows. In other aspects, a data structure and/or data element may encompass data structures and/or data elements, in addition to, or other than tables and fields. For example, other data structures may include files, spreadsheets, matrices, and/or the like. Other fields may include delimited text, cells, and/or the like.


As previously noted, a library 121 is included in the microservice 115 that builds out the tables within the microservice's 115 repository 180 to support custom workflow capabilities. According to various aspects, the library 121 builds out the tables to support several core components that can be used in constructing a custom workflow. These core components include a workflow component, a stage component, a subtask component, and a rule component.


As previously discussed, the microservice can use a workflow component to represent and define a custom workflow designed and installed for the microservice 115. The microservice can use a stage component to represent and define a stage to include in a custom workflow. The microservice can use a subtask component to represent and define a subtask that can be performed within a particular stage of a custom workflow. The microservice can use a rule component to represent and define a rule that controls one or more actions that are performed within the custom workflow based on one or more conditions.


Looking first at FIG. 3, the repository architecture 300 can include one or more schema tables for storing the mapping of various attributes for core components of a custom workflow to various fields of tables defined in the repository 180 for the core components. The various fields can store values for the attributes to persist specific configurations of custom workflows. For instance, the repository architecture 300 can include a Schema table 310 for storing mapping data representing the mapping of the various attributes for the core components to the various fields of tables defined in the repository 180 for the core components.


Here, the Schema table 310 includes records that map attributes, as shown in the Component_Attribute column 315, for the various core components 311, 312, 313, 314 to fields of tables defined in the repository 180 for the various core components 311, 312, 313, 314, as shown in the Mapping column 316. One or more of the create workflow module 130, create stage module 140, create subtask module 150, create rule module 160, and/or publish workflow module 170 can reference the Schema table 310 in storing a particular custom workflow that has been defined for the microservice 115. In some aspects, the create workflow module 130 can query the Schema table 310 for mapping data for attributes of a particular custom workflow. The create workflow module 130 uses the mapping data returned in response to the query to identify fields in the repository 180 to which to store the values for the attributes. The create workflow module 130 stores values for these attributes in the identified fields.


For example, the create workflow module 130 may need to store a name as an attribute for a newly configured custom workflow for the microservice 115. To do so, the create workflow module 130 may query the Schema table 310 to identify a record 317 found in the table 310 for the “Name” attribute 318 of a custom workflow. The create workflow module 130 may then reference the mapping data 319 found in the record 317 and determine that the name (i.e., attribute value) provided for the newly configured custom workflow is to be stored in the “Name” field of the Workflows table 320. Similarly, the create stage module 140, create subtask module 150, and create rule module 160 may also reference the Schema table 310 in storing values for various attributes defined for stages, subtasks, and rules, respectfully, that are defined for a particular custom workflow in the same manner.


According to particular aspects, the library 121 maps the attributes of the various core components 311, 312, 313, 314 by storing the records for the different attributes in the Schema table 310 at a time when the library 121 is initially installed in the microservice 115 and builds out the Schema table 310. In addition, the library 121 builds out the tables and fields for the various core components as reflected by the mapping data stored in the records of the Schema table 310. Therefore, the repository architecture 300 includes a table for each core component that is configured for storing values for the various attributes that may be defined for any particular custom workflow implemented into the microservice 115.


In some aspects, a single table (e.g., a Schema table 310) can be used for storing the mapping data for the attributes of the various core components. But in other aspects, configurations of the repository architecture 300 can use more than a single table for such a purpose. For example, in particular configurations of the architecture 300, a schema table may be implemented for each core component. As a specific example, the repository architecture 300 can include a workflow schema table, a stage schema table, a subtask schema table, and a rule schema table. Such a configuration may be beneficial in some instances since fewer records may need to be queried to reference the mapping data for an attribute for any particular core component. For example, to determine where to store a value for the name attribute of a stage, the create stage module 140 would only need to query the records providing mapping data for the various attributes that can be defined for a stage found in a stage schema table as opposed to having to query the records providing mapping data for the various attributes that can be defined for all the core components in a single schema table.


Accordingly, the particular repository architecture 300 shown in FIGS. 3 and 4 includes a plurality of tables that are used in storing values for the various attributes of core components for specific custom workflows defined for the microservice 115. Specifically, the repository architecture 300 includes a Workflows table 320, shown in FIG. 3, that can be used for storing values of attributes that can be defined for a specific custom workflow. In addition, looking at FIG. 4, the repository architecture 300 can include a Stages table 330 that can be used for storing values of attributes that can be defined for one or more stages included a specific custom workflow. In addition, the repository architecture 300 can include a Subtasks table 340 that can be used for storing values of attributes that can be defined for one or more subtasks included in the stages of a specific custom workflow. Further, the repository architecture 300 can include a Rules table 350 that can be used for storing values of hook points, conditions, and actions that can be defined for one or more rules included in a specific custom workflow.


In an illustrative example, a team uses the workflow management engine 120 to build a custom workflow that performs a risk management process for evaluating a particular risk identified for a data asset, and based on the evaluation, implementing a plan for managing the risk. One or more members of the team responsible for the microservice 115 may use one or more user interfaces 125 that allow the member(s) to define the configuration of the custom workflow by defining what core components make up the custom workflow, as well as define values for various attributes of the core components. In turn, the create workflow module 130, create stage module 140, create subtask module 150, and/or create rule module 160 may then be executed in persisting the custom workflow (the configuration thereof) within the microservice 115 by storing values for various attributes of the core components that have been identified by the member(s) as making up the custom workflow.


Therefore, the one or more members, through the one or more user interfaces 125, may select the core components that make up the custom workflow and provide values for various attributes of the core components. For example, a member may provide input (e.g., via a user interface) indicating that he or she wishes to create a new custom workflow for the microservice 115 and navigates to a user interface 125 that request values for various attributes to define for the custom workflow. Such attributes may include a name of the custom workflow, a description of the custom workflow, a type for the custom workflow, whether the custom workflow is to be used as a default with respect to domain objects the custom workflow may be associated with, and/or the like. Once the member has entered the values for the various attributes, the member may indicate (e.g., may select a button on the screen) to have the new custom workflow created for the microservice 115. In turn, the create workflow module 130 may be executed to store the values for the attributes in the repository 180.


According to various aspects, the create workflow module 130 creates the custom workflow in the microservice 115 by querying the records stored in the Schema table 310 and referencing the mapping data found in the records for the various attributes defined for the workflow core component in determining the fields of the Workflows table 320 to use in storing the values received from the member. Once the create workflow module 130 has determined the fields to use in storing the values for the attributes, the create workflow module 130 stores a record having a “W1” workflow identifier 321 in the Workflows table 320 with the values for the attributes stored in their corresponding fields as shown in FIG. 3.


The create workflow module 130 may continue to configure the custom workflow by defining stages to include in the custom workflow based on user input from the member. Here, the member may navigate to another user interface 125 that allows the member to define a stage to include in the custom workflow, as well as define values for various attributes of the stage. For example, the attributes may include a name for the stage, a description of the stage, and/or the like. In addition, the stages of a custom workflow are typically performed in a sequence. Therefore, an attributed defined for the stage may include its position within the sequence of stages.


In addition to the attributes, the create workflow module 130 may also define one or more subtasks that can be performed during the stage based on definitions for the one or more subtasks provided by the member via a user interface. According to various aspects, these subtasks may then be selected during the execution of an instance of the custom workflow to be performed during the stage of the custom workflow. For example, the member may define seven different subtasks that can be performed during the stage. As a result, the seven subtasks will be available to a client during the execution of an instance of the custom workflow for the client to select to include in the instance of the custom workflow to be performed during the stage. In some instances, a subtask may be required to be performed and is automatically added to the instance of the custom workflow.


Similar to the workflow and stages, the member may define values for various attributes of a subtask. For example, attributes for a subtask may include a name of the subtask, a description of the subtask, and/or the like. In addition, the attributes may include an indicator as to whether the subtask is required to be performed for the stage of the custom workflow. If the indicator is set to “TRUE,” then the subtask may automatically be added to the stage for an instance generated of the custom workflow.


According to various aspects, the create workflow module 130, through the user interface 125, may receive and create the stage for the custom workflow, as well as the subtasks to make available for the stage. In turn, the create stage module 140 and the create subtask module 150 may be executed to store the values for the attributes of the stage and the values for the attributes of the subtasks, respectfully, in the repository 180.


Therefore, in similar fashion to the create workflow module 130, the create stage module 140 according to various aspects queries the records stored in the Schema table 310 and references the mapping data found in the records for the various attributes defined for the stage core component in determining the fields of the Stages table 330 to use in storing the values received from the member for the stage. Once the create stage module 140 has determined the fields to use in storing the values for the attributes, the create stage module 140 stores a record in the Stages table 330 with the values for the attributes of the stage stored in their corresponding fields.


Likewise, the create subtask module 150 queries the records stored in the Schema table 310 and references mapping data found in the records for the various attributes defined for the subtask core component in determining the fields of the Subtasks table 340 to use in storing the values received from the member for each of the subtasks. Once the create subtask module 150 has determined the fields to use in storing the values for the attributes for each of the subtasks, the create subtask module 150 stores a record for each subtask in the Subtasks table 340 with the values for the attributes of the subtask stored in their corresponding fields of the record for the subtask.


Therefore, turning to FIG. 4, the member has defined three stages to include in the custom workflow that is to be executed to perform a risk management process. Here, the stages include “Identified,” “Recommended,” and “Mitigated.” The “identified” stage may involve the beginning of the workflow once a risk has been identified for the data asset being evaluated. The “Recommended” stage may involve developing a treatment plan for addressing and/or mitigating the risk. In addition, the “Recommended” stage may involve in addition to, or instead of, the treatment plan, developing a monitoring plan for monitoring the risk for any change in severity. The “Mitigated” stage may involve executing the treatment plan to address and/or mitigate the risk.


According to particular aspects, a client that is executing an instance of the custom workflow may decide to include all or only certain stages of the custom workflow. For example, a client may identify a risk for a particular asset that is only considered minimal and therefore, may decide that a treatment plan is not needed for addressing and/or mitigating the risk. Therefore, the client may decide to skip (not include) the “Mitigated” stage in the instance of the custom workflow.


In addition, the custom workflow may define a single subtask for the “Recommended” stage that is named “Analysis.” This particular subtask involves conducting a thorough analysis of the risk identified for the data asset so that appropriate recommendations can be identified for addressing and/or mitigating the risk. Further, the custom workflow defines two subtasks (e.g., based on input from the member) for the “Mitigated” stage that are named “ControlApplication” and “Control Verification.” The “ControlApplication” subtask involves applying various controls that are identified to address and/or mitigate the risk. For example, the risk may involve a risk of unauthorized parties gaining access to the data asset. Therefore, the “ControlApplication” subtask may involve implementing an access control such as two-factor authentication for the data asset to control access to the asset. The “Control Verification” subtask involves performing one or more verification processes to ensure (verify) that the proper controls have been implemented to address and/or mitigate the risk.


Looking at FIG. 4, three records having “WS1,” “WS2,” “WS3” identifiers 331, 332, 333 have been added to the Stages table 330 to persist the three stages “Identified,” “Recommended,” and “Mitigated” defined by the member. The Stages table 330 includes various fields that can be used in storing attribute values for each of the stages. In addition, the Stages table 330 includes a “Workflow_ID” field that is used in storing an identifier 321 for the custom workflow to associate the three stages with the custom workflow added to the microservices 115 for the risk management process. Furthermore, the Stages table 330 includes a “Sequence” field 334 that is used in identifying the position of a stage in the sequence of stages defined for the custom workflow.


Three records having “WST1,” “WST2,” “WST3” identifiers 341, 342, 343 have also been added to the Subtasks table 340 to persist the three subtasks “Analysis,” “ControlApplication,” and “Control Verification” defined by the member for the “Recommended” and “Mitigated” stages. Similar to the Stages table 330, the Subtasks table 340 includes various fields that can be used in storing attribute values for each of the subtasks. In addition, the Subtasks table 340 includes a “Stage_ID” field that is stores an identifier 331, 332, 333 for the stage corresponding to each of the subtasks. Furthermore, the Subtasks table 340 includes a “Required” field 344 that identifies whether the subtask is required to be performed for its corresponding stage. In this example, the “Required” field 344 for each of the three subtasks has been set to “TRUE,” indicating a required performance of each of the subtasks during their respective stages.


According to particular aspects, the “Required” field 344 can be set to “FALSE” for a subtask defined for a stage of a custom workflow to indicate that the subtask is option for the stage. In these instances, the subtask can be made available for selection by a client for an instance generated of the custom workflow. Therefore, if the client wishes to have the subtask performed during the stage of the instance of the custom workflow, the client can select the subtask to indicate so, and the custom workflow can add the subtask to the stage for the instance of the custom workflow.


As previously noted, the member may also define rules for the custom workflow that involve performing one or more actions in response to one or more conditions being met, or in some instances, not being met. For example, a rule may cause a remainder email must be sent to the individual who has been assigned to complete a particular subtask if the subtask is not completed in a specified amount of time.


According to various aspects, the microservice may provide various hook points that trigger a rule during different moments of the custom workflow. For example, a hook point may be provided at the beginning of a stage that allows for a rule to be defined that is triggered when the stage begins for an instance of the custom workflow. Here, “triggering” involves evaluating the condition(s) of the rule and if the condition(s) are met, or not met depending on the rule, then executing the action(s) defined by the rule.


Therefore, the member may identify the applicable hook point in defining a rule for the custom workflow. In addition, the member may identify one or more conditions for the rule, along with one or more actions to perform. According to various aspects, the member, through a user interface 125, may create the one or more rules for the custom workflow. In turn, the create rule module 160 may be executed to persist in the rules in the repository 180. The create rule module 160 queries the records stored in the Schema table 310 and references mapping data found in the records for the hook point, conditions, and actions defined for the rule component in determining the fields of the Rules table 350 to use in storing the hook point, condition(s), and action(s) received by the member for each of the rules. Once the create subtask module 150 has determined the fields to use in storing the hook point, condition(s), and action(s) for each of the rules, the create rule module 160 stores a record for each rule in the Rules table 350 with the hook point, condition(s), and action(s) stored in their corresponding fields of the record for the rule.


For example, the member may have defined three rules for the custom workflow developed for the risk management process. The first rule may involve sending an assessment to perform for the identified risk if the risk is determined to have a score level greater than “medium.” The second rule may involve assigning a subtask to have an individual review the assessment if the assessment were sent based on the first rule. The third rule may involve generating and sending an email remainder for a subtask if the completion date set for the subtask is less than two days.


Therefore, looking at FIG. 4, three records having “RULE1,” “RULE2,” “RULE3” identifiers 351, 352, 353 have been stored in the Rules table 350 for each of these rules in which each of the rules is associated with the identifier “W1321 for the custom workflow. Here, the first rule associated with (e.g., is implemented responsive to encountering) a hook point with the identifier “H1354. This particular identifier 354 may be for a hook point implemented for the beginning of the first stage of the custom workflow. Therefore, the rule is triggered at the beginning of the “Identified” stage. The second rule associated with (e.g., is implemented responsive to encountering) a hook point with the identifier “H2355. This particular identifier 355 may be for a hook point implemented for the beginning of the second stage of the custom workflow. Therefore, the second rule is triggered at the beginning of the “Recommended” stage. Finally, the third rule associated with (e.g., is implemented responsive to encountering) a hook point with the identifier “H3356. This particular identifier 356 may be for a hook point implemented for when the second stage is placed in a status of “ongoing.” Therefore, the third rule is triggered when the “Recommended” stage is place in the status of “ongoing.”


The publish workflow module 170, responsive to user input via a user interface 125 from a member indicating that the custom workflow's development is complete, can publish the custom workflow and associate the custom workflow with a particular domain object for the microservice 115. For example, a custom workflow published for the risk management process can be associated with the “risk” domain object defined for the microservice 115. The publish workflow module 170 stores a record in a Workflow Assignment table 360 provided in the repository that associates (maps) the domain object to the customer workflow. For example, as shown in FIG. 4, the publish workflow module 170 stores a record in the Workflow Assignment table 360 with an identifier 361 for the “risk” domain object and the identifier 321 for the custom workflow.


As a result of publishing the custom workflow and associating it with the “risk” domain object, the custom workflow becomes available for execution for each instance generated of the “risk” domain object in the microservice 115. For instance, a client, using the risk assessment service to assess a data asset using in handling a certain type of data, may identify a particular risk associated with the data asset handling the certain type of data. In response to user input identifying this risk, the microservice 115 implementing the service may generate an instance of the “risk” domain object to represent the identified risk that is comprised of an instance of the custom workflow developed for performing the risk management process. The enterprise software application can subsequently execute custom workflow within the service for the identified risk to perform the risk management process on the risk.


According to various aspects, the repository architecture 300 may also include other tables that are used in storing data (e.g., attributes) for instances of custom workflows. For example, an attribute that may defined for a subtask to perform during a stage of an instance generated for a particular custom workflow may be an individual who has been assigned to complete the subtask. Additional attributes may be defined for the subtask such as, for example, a completion date for the subtask, an individual who is to approve completion of the subtask, and/or the like. Therefore, one or more tables may be included in the repository architecture 300 that can be used in persisting the values defined for these attributes.


According to some aspects, the library 121 that is included in the microservice 115 and builds out the tables and fields as previously described, may also build out the tables and fields needed in persisting data for instances generated of custom workflows. In other instances, the data may be stored in tables used in persisting domain objects for the microservice 115. Yet, in other instances, members responsible for the microservice 115 may design and implement their own tables that are used in persisting data for instances of custom workflows. Further detail is provided below regarding the configuration and functionality of the create workflow module 130, create stage module 140, create subtask module 150, create rule module 160, and publish workflow module 170 according to various aspects of the disclosure.


Create Workflow Module


Turning now to FIG. 5, additional details are provided regarding a create workflow module 130 used for creating a custom workflow for a microservice 115 in accordance with various aspects of the disclosure. As previously noted, the create workflow module 130 according to various aspects is provided as part of a workflow management engine 120. The create workflow module 130 utilizes one or more standardized endpoints to communicate with the workflow component defined within the microservice 115 to store values for various attributes of the custom workflow in the repository 180 of the microservice 115. Therefore, the flow diagram shown in FIG. 5 may correspond to operations carried out, for example, by computing hardware as described herein, as the computing hardware executes the create workflow module 130.


The process 500 involves the create workflow module 130 receiving one or more values for one or more attributes of the custom workflow in Operation 510. For example, the received values may include a name of the custom workflow, a description of the custom workflow, a type for the custom workflow, whether the custom workflow is to be used as a default with respect to domain objects the custom workflow may be associated with, and/or the like. In addition, the values may include an identifier for the custom workflow. According to some aspects, the create workflow module 130 may generate the identifier for the custom workflow.


The create workflow module 130 identifies the fields provided in the Workflows table 320 that are used in storing the values of the attributes provided by member in Operation 515. For instance, the create workflow module 130 performs this particular operation by referencing mapping data provided in the repository 180. Here, the create workflow module 130 can gain access to the mapping data through using the one or more standardized endpoints to communicate with the workflow component. The mapping data may be in the form of a Schema table 310 provided in the repository 180 that includes records identifying the various attributes that may be defined for the workflow component and the attributes' corresponding fields in the Workflows table 320 used in storing values for the attributes. The create workflow module 130 queries the Schema table 310 in identifying the fields used in storing the values for the attributes provided by the member.


Here, the create workflow module 130 may identify a specific record stored in the Schema table 310 for each attribute that a value has been provided for by the member. For example, an attribute identifier (e.g., name of the attribute) may be provided for a particular attribute along with the value for the attribute that can be used by the create workflow module 130 in identifying the record stored in the Schema table 310 for the attribute. In addition, the create workflow module 130 may provide a core component identifier that represents the core component “Workflow” that can also be used by the create workflow module 130 in identifying the record. Once the create workflow module 130 has identified the record in the Schema table 310 that corresponds to the attribute, the create workflow module 130 can then reference the mapping data provided by the record in identifying the field found in the Workflows table 320 that is used for storing the value for the attribute.


For example, the create workflow module 130 may provide the core component identifier “Workflow” and attribute identifier “Name” along with a value for a particular attribute. The create workflow module 130 may use these two identifiers in querying the record associated with the particular attribute from the Schema table 310. The create workflow module 130 can then reference the mapping data for the record in determining that the “Name” field of the Workflows table 320 is used in storing the value received along with these two identifiers.


The process 500 continues with the create workflow module 130 storing a record in the Workflows table 320 to record the values of the attributes provided by the member for the custom workflow in Operation 520. Again, the create workflow module 130 may do so by utilizing the one or more standardized endpoints to communicate with the workflow component to store the record in the Workflows table 320. The create workflow module 130 records the value for each of the attributes in the attribute's corresponding field of the record stored in the Workflows table 320. As a result, the custom workflow persists in the microservice 115 and defined based on the values provided for the various attributes. In addition, the create workflow module 130 may also store a value in a “Status” field in Operation 525 for the custom workflow representing a current status of the custom workflow.


According to various aspects, the create workflow module 130 may set the status of the custom workflow to “DRAFT.” This status may indicate that the custom workflow is still in development and that further core components and corresponding attributes need to be defined for the custom workflow. For example, one or more stages may need to be defined for the custom workflow.


Although the create workflow module 130 shown in FIG. 5 is configured for creating a custom workflow within a microservice 115, the create workflow module 130 may be configured (or other modules may be included) according to various aspects for performing other functionality with respect to a custom workflow such as editing the attributes (values thereof) defined for the custom workflow, adding additional attributes (values thereof) to the custom workflow, deleting attributes (values thereof) for the custom workflow, and/or the like. Accordingly, the create workflow module 130 (or other modules) may perform such functionality in a similar fashion as recording values for various attributes to persist a custom workflow in the microservice 115. For example, the create workflow module 130 (or other modules) may edit, add, delete, and/or the like attributes (values thereof) for the custom workflow by referencing the Schema table 310 to identify those fields of the Workflows table 320 used in storing values for the attributes that need to be edited, added, deleted, and/or the like.


Create Stage Module


Turning now to FIG. 6, additional details are provided regarding a create stage module 140 used for creating a stage for a custom workflow in accordance with various aspects of the disclosure. As previously noted, the create stage module 140 according to various aspects is provided as part of a workflow management engine 120. The create stage module 140 can utilize one or more standardized endpoints to communicate with the stage component defined within the microservice 115 to store values for various attributes of the stage in the repository 180 of the microservice 115. Therefore, the flow diagram shown in FIG. 6 may correspond to operations carried out, for example, by computing hardware as described herein, as the computing hardware executes the create stage module 140.


The process 600 involves the create stage module 140 receiving one or more values for one or more attributes of the stage in Operation 610. For example, the values that may be received may include a name for the stage, a description of the stage, a position of the stage in a sequence of the stages defined for the custom workflow, and/or the like. In addition, the create stage module 140 may receive an identifier for the custom workflow, as well as an identifier for the stage. According to some aspects, the create stage module 140 may generate the identifier for the stage.


The create stage module 140 identifies the fields provided in the Stages table 330 that are used in storing the values of the attributes provided by member in Operation 615. Similar to the create workflow module 130, the create stage module 140 performs this particular operation according to various aspects by referencing mapping data provided in the form of a Schema table 310 that includes records identifying the various attributes that may be defined for a stage component of a custom workflow and the attributes' corresponding fields in the Stages table 330 used in storing values for the attributes. The create stage module 140 can gain access to the mapping data through using the one or more standardized endpoints to communicate with the stage component.


The create stage module 140 queries the Schema table 310 to identify a specific record stored in the Schema table 310 for each attribute for the stage that a value has been provided for by the member. For example, an attribute identifier (e.g., name of the attribute) and a core component identifier (e.g., “Stage”) may be provided for a particular attribute along with the value for the attribute that the create stage module 140 uses in identifying the record stored in the Schema table 310 for the attribute. Once the create stage module 140 has identified the record in the Schema table 310 that corresponds to the attribute, the create stage module 140 can then reference the mapping data provided by the record in identifying the field found in the Stages table 330 that is used for storing the value for the attribute.


The process 600 continues with the create stage module 140 storing a record in the Stages table 330 to record the values of the attributes provided by the member for the stage in Operation 620. Again, the create stage module 140 may do so by utilizing the one or more standardized endpoints to communicate with the stage component to store the record in the Stages table 330. Accordingly, the create stage module 140 records the value for each of the attributes in the attribute's corresponding field of the record stored in the Stages table 330. In addition, the create stage module 140 records the identifier for the stage and the identifier for the workflow in the corresponding fields of the record to associate the stage with the custom workflow. As a result, the stage is then persisted in the custom workflow and defined based on the values provided for the various attributes.


As previously discussed, the member may also define one or more subtasks for the stage. Therefore, the create stage module 140 may determine whether values for attributes have also been received for one or more subtasks that have been defined to include in the stage in Operation 625. For example, the values may include subtask identifiers and/or subtask names that the create stage module 140 determines are associated with one or more subtasks. If the create stage module 140 determines attribute values have been received for one or more subtasks to include in the stage, then the create stage module 140 records the one or more subtasks for the stage in Operation 630.


According to various aspects, the create stage module 140 performs this particular operation by invoking (executing) a create subtask module 150. For example, the create stage module 140 may provide the values of attributes for the subtask(s) that are to be added to the stage to the create subtask module 150. In addition, the create stage module 140 may provide the create subtask module 150 with an identifier for the stage. As further discussed herein, the create subtask module 150 records the values provided for various attributes for the one or more subtasks in the Subtasks table 340 to persist the subtask(s) for the stage. Once the subtask(s) have been recorded for the stage, the create stage module exits in Operation 635. Accordingly, the create stage module 140 can create additional stages for the custom workflow by storing the values defined for various attributes of the additional stages, as well as the subtask(s) defined for the additional stages.


Although the create stage module 140 shown in FIG. 6 is configured for creating a stage for a custom workflow, the create stage module 140 may be configured (or other modules may be included) according to various aspects for performing other functionality with respect to a stage such as editing the attributes (values thereof) defined for the stage, adding additional attributes (values thereof) to the stage, deleting attributes (values thereof) for the stage, adding additional subtasks to the stage, and/or the like. Accordingly, the create stage module 140 (or other modules) may perform such functionality in a similar fashion as recording values for various attributes to persist a stage in a custom workflow. For example, the create stage module 140 (or other modules) may edit, add, delete, and/or the like attributes (values thereof) for the stage by referencing the Schema table 310 to identify those fields of the Stages table 330 used in storing values for the attributes that need to be edited, added, deleted, and/or the like.


Create Subtask Module


Turning now to FIG. 7, additional details are provided regarding a create subtask module 150 used for creating one or more subtasks for a stage found in a custom workflow in accordance with various aspects of the disclosure. As previously noted, the create subtask module 150 according to various aspects is provided as part of a workflow management engine 120. The create subtask module 150 can utilize one or more standardized endpoints to communicate with the subtask component defined within the microservice 115 to store values for various attributes of the subtask(s) in the repository 180 of the microservice 115. Therefore, the flow diagram shown in FIG. 7 may correspond to operations carried out, for example, by computing hardware as described herein, as the computing hardware executes the create subtask module 150.


The process 700 involves the create subtask module 150 receiving value(s) for one or more attributes for each of the subtasks in Operation 710. For example, the values that may be received for each subtask may include a name for the subtask, a description of the stage, an indicator of whether the subtask is required to be performed for the stage, and/or the like. In addition, the create subtask module 150 may receive an identifier for each of the subtasks and/or an identifier for the stage that the subtask(s) are to be associated with for the custom workflow. According to some aspects, the create subtask module 150 may generate the identifier for each of the subtasks.


The create subtask module 150 identifies the fields provided in the Subtasks table 340 that are used in storing the values of the attributes provided by member in Operation 715. Similar to the create workflow module 130 and the create stage module 140, the create subtask module 150 performs this particular operation according to various aspects by referencing mapping data provided in the form of a Schema table 310 that includes records identifying the various attributes that may be defined for a subtask component of a custom workflow and the attributes' corresponding fields in the Subtasks table 340 used in storing values for the attributes. The create subtask module 150 can gain access to the mapping data through using the one or more standardized endpoints to communicate with the subtask component.


The create subtask module 150 queries the Schema table 310 to identify a specific record stored in the Schema table 310 for each attribute of the subtask(s) that a value has been provided for by the member. For example, an attribute identifier (e.g., name of the attribute) and a core component identifier (e.g., “Subtask”) may be provided for a particular attribute along with the value for the attribute for each subtask. The create subtask module 150 uses these identifiers in identifying the record stored in the Schema table 310 for the attribute. Once the create subtask module 150 has identified the record in the Schema table 310 that corresponds to the attribute, the create subtask module 150 can then reference the mapping data provided by the record in identifying the field found in the Subtasks table 340 that is used for storing the value for the attribute.


The process 700 continues with the create subtask module 150 storing a record in the Subtasks table 340 for a first one of the subtasks to record the values of the attributes provided by the member for the subtask in Operation 720. Again, the create subtask module 150 may do so by utilizing the one or more standardized endpoints to communicate with the subtask component to store the record in the Subtasks table 340. Accordingly, the create subtask module 150 records the value for each of the attributes in the attribute's corresponding field of the record stored in the Subtasks table 340. In addition, the create subtask module 150 records the identifier for the subtask and the identifier for the stage in the corresponding fields of the record to associate the subtask with the stage of the custom workflow. As a result, the subtask is then persisted in the stage of the custom workflow and defined based on the values provided for the various attributes.


The create subtask module 150 then determines whether another subtask has been provided for the stage in Operation 725. For example, the create subtask module 150 may determine that another identifier for a subtask has been provided along with associated values for other attributes. Therefore, if the create subtask module 150 determines attribute values have been provided for another subtask to include in the stage, then the create subtask module 150 returns to Operation 720 and stores a record in the Subtasks table 340 for the subtask. Once the create subtask module 150 has processed the attribute values for all of the subtasks, the create subtask module 150 exists at Operation 730. As a result, the subtasks that have been define for the stage are now persisted in the repository 180 for the microservice 115 so that the subtasks are available for use with instances generated of the custom workflow.


Although the create subtask module 150 shown in FIG. 7 is configured for creating a subtask for a stage of a custom workflow, the create subtask module 150 may be configured (or other modules may be included) according to various aspects for performing other functionality with respect to a subtask such as editing the attributes (values thereof) defined for the subtask, adding additional attributes (values thereof) to the subtask, deleting attributes (values thereof) for the subtask, and/or the like. Accordingly, the create subtask module 150 (or other modules) may perform such functionality in a similar fashion as recording values for various attributes to persist a subtask in a stage of a custom workflow. For example, the create subtask module 150 (or other modules) may edit, add, delete, and/or the like attributes (values thereof) for the subtask by referencing the Schema table 310 to identify those fields of the Subtasks table 340 used in storing values for the attributes that need to be edited, added, deleted, and/or the like.


Create Rule Module


Turning now to FIG. 8, additional details are provided regarding a create rule module 160 used for creating one or more rules for a custom workflow in accordance with various aspects of the disclosure. As previously noted, the create rule module 160 according to various aspects is provided as part of a workflow management engine 120. The create rule module 160 can utilize one or more standardized endpoints to communicate with the rule component defined within the microservice 115 to store a hook point, one or more conditions, and one or more actions for the rule(s) in the repository 180 of the microservice 115. Therefore, the flow diagram shown in FIG. 8 may correspond to operations carried out, for example, by computing hardware as described herein, as the computing hardware executes the create rule module 160.


The process 700 involves the create rule module 160 receiving an identifier for the hook point, condition(s), and action(s) for each of the rules in Operation 810. In addition, the create rule module 160 may receive an identifier for each of the rules and/or an identifier for the workflow that the rule(s) are to be associated with for the custom workflow. According to some aspects, the create rule module 160 may generate the identifier for each of the rules.


According to various aspects, the identifiers for the hook points may be mapped to particular hook points that are available for use within the custom workflow. The mappings for the identifiers may be provided in a table found within the repository 180. For example, a variety of hook points may be available that may include points such as the beginning and end of a custom workflow, the beginning and end of a stage of the custom workflow, and/or the beginning and end of a subtask of a custom workflow. In addition, hook points may be available that are tied to properties and/or states of the custom workflow. For example, a hook point can be made available that is tied to a particular attribute of a custom workflow, stage, and/or subtask. A specific example may include the status of a custom workflow and/or stage of the custom workflow. Further, hook points may be available that are tied to properties and/or states of a domain object associated with the custom workflow. A specific example, a hook point may be available that is tied to an instance of a domain object representing a particular item or article such as a particular risk.


The create rule module 160 identifies the fields provided in the Rules table 350 that are used in storing the hook point, condition(s), and action(s) for a rule in Operation 815. The create rule module 160 performs this particular operation according to various aspects by referencing mapping data provided in the form of a Schema table 310 that includes records identifying the hook point, conditions, and actions defined for a rule component of a custom workflow and the hook point's, conditions', and rules' corresponding fields in the Rules table 350 used in storing the hook point identifier, conditions, and actions for a rule. The create rule module 160 can gain access to the mapping data through using the one or more standardized endpoints to communicate with the rule component.


The create rule module 160 queries the Schema table 310 to identify a specific record stored in the Schema table 310 for each of the hook point, a condition, and an action. According to particular aspects, the Rules table 350 may include more than one field for storing conditions, as well as more than one field for storing actions. For example, a core component identifier (e.g., “Rule”) may be provided along with a hook point identifier for a rule. The create rule module 160 uses the identifier in identifying the record stored in the Schema table 310 for the hook point. Once the create rule module 160 has identified the record in the Schema table 310 that corresponds to the hook point, the create rule module 160 can then reference the mapping data provided by the record in identifying the field found in the Rules table 350 that is used for storing the value for the hook point. The create rule module 160 can do the same for conditions and actions.


The process 800 continues with the create rule module 160 storing a record in the Rules table 350 for a first one of the rules to record the hook point identifier, condition(s), and action(s) provided by the member for the rule in Operation 820. Again, the create rule module 160 may do so by utilizing the one or more standardized endpoints to communicate with the rule component to store the record in the Rules table 350. Accordingly, the create rule module 160 records the hook point identifier, condition(s), and action(s) in their corresponding fields of the record stored in the Rules table 350. In addition, the create rule module 160 records the identifier for the rule and the identifier for the custom workflow in the corresponding fields of the record to associate the rule with the custom workflow. As a result, the rule is then persisted in the custom workflow and defined based on the hook point identifier, condition(s), and action(s) provided.


The create rule module 160 then determines whether another rule has been provided for the custom workflow in Operation 825. For example, the create rule module 160 may determine that another identifier for a rule has been provided along with associated hook point identifier, condition(s), and action(s). Therefore, if the create rule module 160 determines a hook point identifier, condition(s), and action(s) have been provided for another rule to include in the custom workflow, then the create rule module 160 returns to Operation 820 and stores a record in the Rules table 350 for the rule. Once the create rule module 160 has processed the hook point identifiers, condition(s), and action(s) for all of the rules, the create rule module 160 exists at Operation 830. As a result, the rules that have been define for the custom workflow are now persisted in the repository 180 for the microservice 115 so that the rules are evaluated and executed for instances generated of the custom workflow.


Although the create rule module 160 shown in FIG. 8 is configured for creating a rule for a custom workflow, the create rule module 160 may be configured (or other modules may be included) according to various aspects for performing other functionality with respect to a rule such as editing the hook point, condition(s), and/or action(s) defined for the rule, adding additional condition(s) and/or action(s) to the rule, deleting condition(s) and/or action(s) for the rule, and/or the like. Accordingly, the create rule module 160 (or other modules) may perform such functionality in a similar fashion as recording the hook point identifier, condition(s), and action(s) to persist a rule in a custom workflow. For example, the create rule module 160 (or other modules) may edit, add, delete, and/or the like the hook point identifier, condition(s), and/or action(s) for the rule by referencing the Schema table 310 to identify those fields of the Rules table 350 used in storing the hook point identifier, condition(s), and/or action(s) that need to be edited, added, deleted, and/or the like.


Publish Workflow Module


Turning now to FIG. 9, additional details are provided regarding a publish workflow module 170 used for publishing a custom workflow and assigning the custom workflow to a domain object in accordance with various aspects of the disclosure. As previously noted, the publish workflow module 170 according to various aspects is provided as part of a workflow management engine 120. and the publish workflow module can utilize one or more standardized endpoints to publish the custom workflow and assign the custom workflow to a domain object of the microservice 115 by updating a status attribute for the custom workflow and storing a record mapping the custom workflow to the domain object in the repository 180 of the microservice 115. Therefore, the flow diagram shown in FIG. 9 may correspond to operations carried out, for example, by computing hardware as described herein, as the computing hardware executes the publish workflow module 170.


The process 900 involves the publish workflow module 170 receiving a request to publish the custom workflow in Operation 910. The request may include an identifier for the custom workflow, as well as one or more identifiers for domain objects that are to be associated with the custom workflow. The publish workflow module 170 determines whether the custom workflow is to be assigned to one or more domain objects in Operation 915. For example, the publish workflow module 170 determines whether any domain object identifiers have been provided in the request.


If the publish workflow module 170 determines the custom workflow is to be assigned to one or more domain objects, then the publish workflow module 170 stores a record for each of the domain objects in the Workflow Assignment table 360 in Operation 920. Here, the publish workflow module 170 can utilize the one or more standardized endpoints to gain access to mapping data to identify the Workflow Assignment table 360 and corresponding fields of the table 360. Each record includes the custom workflow identifier for the custom workflow and the domain object identifier for the domain object. Therefore, the record maps the custom workflow to the domain object.


The publish workflow module 170 then publishes the custom workflow in Operation 925 by updating the status of the custom workflow. For example, the publish workflow module 170 according to various aspects updates the “Status” attribute of the custom workflow in the Workflows table 320 to “Published.” Here, the publish workflow module 170 queries the records stored in the Workflows table 320 based on the custom workflow identifier and once the record has been identified, the publish workflow module 170 updates the “Status” field for the record to “Published.” As a result, the custom workflow is now available in the microservice 115 for use and if assigned to one or more domain objects, instances of the custom workflow become available for instances generated of the one or more domain objects.


Although the publish workflow module 170 shown in FIG. 9 is configured for publishing a custom workflow and assigning domain objects to the custom workflow, the publish workflow module 170 may be configured (or other modules may be included) according to various aspects for performing other functionality with respect to a custom workflow such as setting the status of the custom workflow to something other than published (e.g., “ARCHIVE”), unassigning domain objects to the custom workflow, and/or the like. For example, the publish workflow module 170 (or other modules) may perform such functionality in a similar fashion as publishing a custom workflow and assigning domain objects to the custom workflow.


Examples of Graphical User Interfaces


As previously noted, custom workflows may use various user interfaces (e.g., graphical user interfaces or GUIs) 125 to manage custom workflows and their associated stages, subtasks, and rules. FIG. 10 illustrates an example of an interface 1000 for managing one or more workflows. The interface 1000 includes a listing of custom workflows 1010 and various respective attributes for such workflows. For example, the workflow “Default Rejecting” 1015 may have a current status of “Archived” 1020, a last updated status of “Vendor Rules” 1025, a last modified date of “Sep. 23, 2020” 1030, and a creation date of “Nov. 22, 2019” 1035. In addition, the interface 1000 provides a user-selectable button 1040 for creating a new custom workflow.



FIG. 11 illustrates an example of an interface 1100 that a custom workflow can use for creating and/or configuring a custom workflow. The interface 1100 allows a user (e.g., team member) to specify various attributes of the custom workflow, such as the workflow name (“Demo Workflow”) 1110. The interface 1100 may also present workflow stages such as “OPEN” 1115 and various other details, such as the stage's details 1120. The interface 1100 includes a first button 1125 that can be selected by the user to create the custom workflow in the microservice 115. For example, selection of the first button 1125 may invoke (execute) the create workflow module 130 as previously discussed. In addition, the interface includes a second button 1130 that can be selected by the user to publish the custom workflow. For example, selection of the second button 1130 may invoke (execute) the publish workflow module 170 as previously discussed.



FIG. 12 illustrates an example of an interface 1200 that can be used for creating and/or configuring a stage of a custom workflow. The interface 1200 allows a user to specify various attributes of the workflow stage, such as a workflow stage name (“IN PROGRESS”) 1210, a workflow stage status (“Under Review”) 1215, and a workflow stage description 1220. The interface 1200 also show a position of the stage (“IN PROGRESS”) 1225 in the custom workflow, as well as the stage details 1230 for the stage. In addition, the interface 1200 includes a button 1235 to allow the user to add the stage to the custom workflow. For example, selection of the button 1235 may invoke (execute) the create stage module 140 previously discussed. A similar type of interface may be provided for configuring a subtask for the stage.



FIG. 13 illustrates an example of an interface 1300 that a custom workflow can use for creating and/or configuring a rule for a custom workflow. For example, a user may navigate to a particular hook point available in the custom workflow configuration and invoke the interface 1300. The interface 1300 provides a name “Facility Intrusion” 1310 for the rule. In addition, the interface 1300 allows a user to specify the conditions 1315 and actions 1320 for the rule. Here, the particular rule shown in FIG. 13 includes an action 1325 to cause an assessment to be launched (sent) when the conditions 1315 for the rule are met. Once the user has identified (set) the conditions 1315 and actions 1320 for the rule, the user may create the rule, for example, by invoking (executing) the create rule module 160 previously discussed.



FIG. 14 illustrates an example of an interface 1400 that can be used for publishing a custom workflow. The interface 1400 presents various attributes of the custom workflow and associated stages and allows the user to “publish” the custom workflow. For example, selection of the “publish” button 1410 may invoke (execute) the publish workflow module 170 previously discussed. According to various aspects, once the custom workflow is “published,” it becomes available in the microservice 115 and for use by one or more services.



FIG. 15 illustrates an example of an interface 1500 that can be used for archiving a custom workflow. The interface 1500 may present various attributes of the custom workflow and associated stages and allows the user to “archive” the workflow. For example, the user may select the “confirm” button 1510 to archive the custom workflow. According to various aspects, once a custom workflow is “archived,” it is no longer available in the microservice 115 and for use by the one or more services. In addition, the various stages and/or subtasks associated with the particular custom workflow may be disabled or otherwise prevented from executing.


Example Technical Platforms


Aspects of the present disclosure may be implemented in various ways, including as computer program products that comprise articles of manufacture. Such computer program products may include one or more software components including, for example, software objects, methods, data structures, and/or the like. A software component may be coded in any of a variety of programming languages. An illustrative programming language may be a lower-level programming language such as an assembly language associated with a particular hardware architecture and/or operating system platform. A software component comprising assembly language instructions may require conversion into executable machine code by an assembler prior to execution by the hardware architecture and/or platform. Another example programming language may be a higher-level programming language that may be portable across multiple architectures. A software component comprising higher-level programming language instructions may require conversion to an intermediate representation by an interpreter or a compiler prior to execution.


Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a script language, a database query, or search language, and/or a report writing language. In one or more example aspects, a software component comprising instructions in one of the foregoing examples of programming languages may be executed directly by an operating system or other software component without having to be first transformed into another form. A software component may be stored as a file or other data storage construct. Software components of a similar type or functionally related may be stored together such as, for example, in a particular directory, folder, or library. Software components may be static (e.g., pre-established, or fixed) or dynamic (e.g., created or modified at the time of execution).


A computer program product may include a non-transitory computer-readable storage medium storing applications, programs, program modules, scripts, source code, program code, object code, byte code, compiled code, interpreted code, machine code, executable instructions, and/or the like (also referred to herein as executable instructions, instructions for execution, computer program products, program code, and/or similar terms used herein interchangeably). Such non-transitory computer-readable storage media include all computer-readable media (including volatile and non-volatile media).


According to various aspects, a non-volatile computer-readable storage medium may include a floppy disk, flexible disk, hard disk, solid-state storage (SSS) (e.g., a solid-state drive (SSD), solid state card (SSC), solid state module (SSM)), enterprise flash drive, magnetic tape, or any other non-transitory magnetic medium, and/or the like. A non-volatile computer-readable storage medium may also include a punch card, paper tape, optical mark sheet (or any other physical medium with patterns of holes or other optically recognizable indicia), compact disc read only memory (CD-ROM), compact disc-rewritable (CD-RW), digital versatile disc (DVD), Blu-ray disc (BD), any other non-transitory optical medium, and/or the like. Such a non-volatile computer-readable storage medium may also include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory (e.g., Serial, NAND, NOR, and/or the like), multimedia memory cards (MMC), secure digital (SD) memory cards, SmartMedia cards, CompactFlash (CF) cards, Memory Sticks, and/or the like. Further, a non-volatile computer-readable storage medium may also include conductive-bridging random access memory (CBRAM), phase-change random access memory (PRAM), ferroelectric random-access memory (FeRAM), non-volatile random-access memory (NVRAM), magnetoresistive random-access memory (MRAM), resistive random-access memory (RRAM), Silicon-Oxide-Nitride-Oxide-Silicon memory (SONOS), floating junction gate random access memory (FJG RAM), Millipede memory, racetrack memory, and/or the like.


According to various aspects, a volatile computer-readable storage medium may include random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), fast page mode dynamic random access memory (FPM DRAM), extended data-out dynamic random access memory (EDO DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), double data rate type two synchronous dynamic random access memory (DDR2 SDRAM), double data rate type three synchronous dynamic random access memory (DDR3 SDRAM), Rambus dynamic random access memory (RDRAM), Twin Transistor RAM (TTRAM), Thyristor RAM (T-RAM), Zero-capacitor (Z-RAM), Rambus in-line memory module (RIMM), dual in-line memory module (DIMM), single in-line memory module (SIMM), video random access memory (VRAM), cache memory (including various levels), flash memory, register memory, and/or the like. It will be appreciated that where various aspects are described to use a computer-readable storage medium, other types of computer-readable storage media may be substituted for or used in addition to the computer-readable storage media described above.


Various aspects of the present disclosure may also be implemented as methods, apparatuses, systems, computing devices, computing entities, and/or the like. As such, various aspects of the present disclosure may take the form of a data structure, apparatus, system, computing device, computing entity, and/or the like executing instructions stored on a computer-readable storage medium to perform certain steps or operations. Thus, various aspects of the present disclosure also may take the form of entirely hardware, entirely computer program product, and/or a combination of computer program product and hardware performing certain steps or operations.


Various aspects of the present disclosure are described below with reference to block diagrams and flowchart illustrations. Thus, each block of the block diagrams and flowchart illustrations may be implemented in the form of a computer program product, an entirely hardware aspect, a combination of hardware and computer program products, and/or apparatuses, systems, computing devices, computing entities, and/or the like carrying out instructions, operations, steps, and similar words used interchangeably (e.g., the executable instructions, instructions for execution, program code, and/or the like) on a computer-readable storage medium for execution. For example, retrieval, loading, and execution of code may be performed sequentially such that one instruction is retrieved, loaded, and executed at a time. In some examples of aspects, retrieval, loading, and/or execution may be performed in parallel such that multiple instructions are retrieved, loaded, and/or executed together. Thus, such aspects can produce specially configured machines performing the steps or operations specified in the block diagrams and flowchart illustrations. Accordingly, the block diagrams and flowchart illustrations support various combinations of aspects for performing the specified instructions, operations, or steps.


Example System Architecture



FIG. 16 depicts a system architecture 1600 that can execute implementations of various aspects of the present disclosure. The architecture 1600 includes one or more team computing systems 1620, a server system 1610, and one or more networks 1625. The server system 1610 includes one or more server devices 1615. According to various aspects, team members 126 can use a team computing system 1620 to interact, via one or more user interfaces 125, with one or more microservices 115 used in implementing an enterprise software application that is hosted by the server system 1610. For example, the team computing system 1620 can include any appropriate type of computing device such as a desktop computer, a laptop computer, a handheld computer, a tablet computer, a network appliance, a smart phone, and/or the like. Here, the team computing system 1620 can communicate with one or more of the server devices 1615 over the network(s) 1625. For example, the network(s) 1625 can include one or more of a large computer network, such as a local area network (LAN), a wide area network (WAN), the Internet, a cellular network, a telephone network (e.g., PSTN) or an appropriate combination thereof.


According to various aspects, each server device 1615 may include at least one server and at least one data store. Here, the server devices 1615 may represent various forms of servers including, but not limited to a web server, an application server, a proxy server, a network server, and/or a server pool. In general, the server system 1610 accepts requests from team member devices (e.g., the team computing system 1620) with respect to implementing and/or managing functionality associated with application services (microservices 115 thereof) over the network(s) 1625.


According to various aspects, the server system 1610 can provide a cloud infrastructure to host one more microservice-based applications (e.g., microservices 115 provided as one or more computer-executable programs executed by one or more server devices 1615). In some examples, computing resources of the server system 1610 can be provisioned based on modelling of network traffic associated with use of the one or more microservices 115. Accordingly, the microservices 115 may be designed to communicate using communication methods and protocols, such as lightweight RESTful APIs (i.e., application programming interfaces (API) implemented using representational state transfer (REST) architectures). For example, the API may be implemented as a REST API, which may be accessed using the hypertext transfer protocol (HTTP), in a manner similar to a standard web page. However, any suitable communication protocol may be used.


Example Computing Hardware



FIG. 17 illustrates a diagrammatic representation of a computing hardware device 1700 that may be used in accordance with various aspects of the disclosure. For example, the hardware device 1700 may be computing hardware such as a server that is part of a server device 1615 as described in FIG. 16. According to particular aspects, the hardware device 1700 may be connected (e.g., networked) to one or more other computing entities, storage devices, and/or the like via one or more networks such as, for example, a LAN, an intranet, an extranet, and/or the Internet. As noted above, the hardware device 1700 may operate in the capacity of a server and/or a client device in a client-server network environment, or as a peer computing device in a peer-to-peer (or distributed) network environment. According to various aspects, the hardware device 1700 may be a personal computer (PC), a tablet PC, a web appliance, a server, a network router, a switch or bridge, or any other device capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that device. Further, while only a single hardware device 1700 is illustrated, the term “hardware device,” “computing hardware,” and/or the like shall also be taken to include any collection of computing entities that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.


A hardware device 1700 includes a processor 1702, a main memory 1704 (e.g., read-only memory (ROM), flash memory, dynamic random-access memory (DRAM) such as synchronous DRAM (SDRAM), Rambus DRAM (RDRAM), and/or the like), a static memory 1706 (e.g., flash memory, static random-access memory (SRAM), and/or the like), and a data storage device 1718, that communicate with each other via a bus 1732.


The processor 1702 may represent one or more general-purpose processing devices such as a microprocessor, a central processing unit, and/or the like. According to some aspects, the processor 1702 may be a complex instruction set computing (CISC) microprocessor, reduced instruction set computing (RISC) microprocessor, very long instruction word (VLIW) microprocessor, a processor implementing other instruction sets, processors implementing a combination of instruction sets, and/or the like. According to some aspects, the processor 1702 may be one or more special-purpose processing devices such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), network processor, and/or the like. The processor 1702 can execute processing logic 1726 for performing various operations and/or steps described herein.


The hardware device 1700 may further include a network interface device 1708, as well as a video display unit 1710 (e.g., a liquid crystal display (LCD), a cathode ray tube (CRT), and/or the like), an alphanumeric input device 1712 (e.g., a keyboard), a cursor control device 1714 (e.g., a mouse, a trackpad), and/or a signal generation device 1716 (e.g., a speaker). The hardware device 1700 may further include a data storage device 1718. The data storage device 1718 may include a non-transitory computer-readable storage medium 1730 (also known as a non-transitory computer-readable storage medium or a non-transitory computer-readable medium) on which is stored one or more modules 1722 (e.g., sets of software instructions) embodying any one or more of the methodologies or functions described herein. For instance, according to particular aspects, the modules 1722 include a create workflow module 130, create stage module 140, create subtask module 150, create rule module 160, and/or publish workflow module 170 that are part of a workflow management engine 120 as described herein. The one or more modules 1722 may also reside, completely or at least partially, within main memory 1704 and/or within the processor 1702 during execution thereof by the hardware device 1700—main memory 1704 and processor 1702 also constituting computer-accessible storage media. The one or more modules 1722 may further be transmitted or received over a network 1625 via the network interface device 1708.


While the computer-readable storage medium 1730 is shown to be a single medium, the terms “computer-readable storage medium” and “machine-accessible storage medium” should be understood to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “computer-readable storage medium” should also be understood to include any medium that is capable of storing, encoding, and/or carrying a set of instructions for execution by the hardware device 1700 and that causes the hardware device 1700 to perform any one or more of the methodologies of the present disclosure. The term “computer-readable storage medium” should accordingly be understood to include, but not be limited to, solid-state memories, optical and magnetic media, and/or the like.


System Operation


The logical operations described herein may be implemented (1) as a sequence of computer implemented acts or one or more program modules running on a computing system and/or (2) as interconnected machine logic circuits or circuit modules within the computing system. The implementation is a matter of choice dependent on the performance and other requirements of the computing system. Accordingly, the logical operations described herein are referred to variously as states, operations, steps, structural devices, acts, or modules. These states, operations, steps, structural devices, acts, and modules may be implemented in software, in firmware, in special purpose digital logic, and any combination thereof. Greater or fewer operations may be performed than shown in the figures and described herein. These operations also may be performed in a different order than those described herein.


CONCLUSION

While this specification contains many specific aspect details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features that may be specific to particular aspects of particular inventions. Certain features that are described in this specification in the context of separate aspects also may be implemented in combination in a single aspect. Conversely, various features that are described in the context of a single aspect also may be implemented in multiple aspects separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination may in some cases be excised from the combination, and the claimed combination may be a sub-combination or variation of a sub-combination.


Similarly, while operations are described in a particular order, this should not be understood as requiring that such operations be performed in the particular order described or in sequential order, or that all described operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the separation of various components in the various aspects described above should not be understood as requiring such separation in all aspects, and the described program components (e.g., modules) and systems may be integrated together in a single software product or packaged into multiple software products.


Many modifications and other aspects of the disclosure will come to mind to one skilled in the art to which this disclosure pertains having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. Therefore, it is to be understood that the disclosure is not to be limited to the specific aspects disclosed and that modifications and other aspects are intended to be included within the scope of the appended claims. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for the purposes of limitation.

Claims
  • 1. A method comprising: receiving, via a graphical user interface communicating with at least one endpoint that is available through a microservice, a first plurality of attribute values for a custom workflow to include in the microservice, wherein each attribute value of the first plurality of attribute values corresponds to a corresponding attribute of a first plurality of attributes defined for a workflow component that is available through the microservice;accessing, by computing hardware and from a schema table defined in a repository for the microservice, mapping data for an attribute of the first plurality of attributes;identifying, by the computing hardware and based on the mapping data for the attribute of the first plurality of attributes, a corresponding field of a workflows table mapped to the attribute of the first plurality of attributes, wherein the workflows table is defined in the repository for the workflow component;storing, by the computing hardware, a first record in the workflows table for the custom workflow, wherein an attribute value of the first plurality of attribute values is stored for the first record in the corresponding field mapped to the attribute of the first plurality of attributes;receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a second plurality of attribute values for a first stage to include in the custom workflow, wherein each attribute value of the second plurality of attribute values corresponds to a corresponding attribute of a second plurality of attributes defined for a stage component that is available through the microservice;accessing, by the computing hardware and from the schema table, mapping data for an attribute of the second plurality of attributes;identifying, by the computing hardware and based on the mapping data for the attribute of the second plurality of attributes, a corresponding field of a stages table mapped to the attribute of the second plurality of attributes, wherein the stages table is defined in the repository for the stage component; andstoring, by the computing hardware, a first record in the stages table for the first stage to include in the custom workflow, wherein an attribute value of the second plurality of attribute values is stored for the first record in the corresponding field mapped to the attribute of the second plurality of attributes, and storing the first record in the workflows table for the custom workflow and the first record in the stages table for the first stage persists the custom workflow in the microservice.
  • 2. The method of claim 1 further comprising: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a third plurality of attribute values for a second stage to include in the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to a corresponding attribute of the second plurality of attributes;identifying, by the computing hardware and based on the mapping data for the attribute of the second plurality of attributes, the corresponding field of the stages table mapped to the attribute of the second plurality of attributes; andstoring, by the computing hardware, a second record in the stages table for the second stage to include in the custom workflow, wherein an attribute value of the third plurality of attribute values is stored for the second record in the corresponding field mapped to the attribute of the second plurality of attributes.
  • 3. The method of claim 1 further comprising: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a third plurality of attribute values for a first subtask to include in the first stage of the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to a corresponding attribute of a third plurality of attributes defined for a subtask component that is available through the microservice;accessing, by the computing hardware and from the schema table, mapping data for an attribute of the third plurality of attributes;identifying, by the computing hardware and based on the mapping data for the attribute of the third plurality of attributes, a corresponding field of a subtasks table mapped to the attribute of the third plurality of attributes, wherein the subtasks table is defined in the repository for the subtask component; andstoring, by the computing hardware, a first record in the subtasks table for the first subtask to include in the first stage of the custom workflow, wherein an attribute value of the third plurality of attribute values is stored for the first record in the corresponding field mapped to the attribute of the third plurality of attributes.
  • 4. The method of claim 3 further comprising: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a fourth plurality of attribute values for a second subtask to include in the first stage of the custom workflow, wherein each attribute value of the fourth plurality of attribute values corresponds to a corresponding attribute of the third plurality of attributes;accessing, by the computing hardware and from the schema table, the mapping data for an attribute of the third plurality of attributes;identifying, by the computing hardware and based on the mapping data for the attribute of the third plurality of attributes, the corresponding field of the subtasks table mapped to the attribute of the third plurality of attributes; andstoring, by the computing hardware, a second record in the subtasks table for the second subtask to include in the first stage of the custom workflow, wherein an attribute value of the fourth plurality of attribute values is stored for the second record in the corresponding field mapped to the attribute of the third plurality of attributes.
  • 5. The method of claim 1 further comprising: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a condition and an action for a first rule to include in the first stage of the custom workflow, wherein the condition corresponds to a first attribute defined for a rule component and the action corresponds to a second attribute defined for the rule component that is available through the microservice;for the condition: identifying, by the computing hardware and based on an identifier for the first attribute, a third record stored in the schema table for the first attribute; andidentifying, by the computing hardware and based on mapping data stored in the third record of the schema table, a first field of a rules table mapped to the first attribute, wherein the rules table is defined in the repository for the rule component;for the action: identifying, by the computing hardware and based on an identifier for the second attribute, a fourth record stored in the schema table for the second attribute; andidentifying, by the computing hardware and based on mapping data stored in the fourth record of the schema table, a second field of the rules table mapped to the second attribute; andstoring, by the computing hardware, a first record in the rules table for the first rule to include in the first stage of the custom workflow, wherein the condition and the action are stored for the first record in the first field and the second field, respectively.
  • 6. The method of claim 1 further comprising: receiving, via the graphical user interface, an identifier for a domain object defined within the microservice and an identifier for the custom workflow; andstoring, by the computing hardware, a record in a workflow assignment table defined in the repository for the microservice, the record comprising mapping data that maps the domain object to the custom workflow, wherein storing the record in the workflow assignment table results in the custom workflow being made available for use with an instance generated of the domain object.
  • 7. The method of claim 6, wherein the custom workflow being made available to the instance comprises allowing a user, through a second graphical user interface, to define properties for the first stage of the custom workflow that are applicable to the instance of the domain object.
  • 8. A system comprising: a non-transitory computer-readable medium storing instructions; anda processing device communicatively coupled to the non-transitory computer-readable medium,wherein, the processing device is configured to execute the instructions and thereby perform operations comprising: receiving, via a graphical user interface communicating with at least one endpoint that is available through a microservice, a first plurality of attribute values defined for a custom workflow to include in the microservice, wherein each attribute value of the first plurality of attribute values corresponds to a corresponding attribute of a first plurality of attributes defined for a workflow component that is available through the microservice;for each attribute value of the first plurality of attribute values: identifying, based on an identifier for the corresponding attribute of the first plurality of attributes, a first record stored in a schema table for the corresponding attribute of the first plurality of attributes, wherein the schema table is defined in a repository for the microservice; andidentifying, based on mapping data stored in the first record of the schema table, a corresponding field of a workflows table mapped to the corresponding attribute of the first plurality of attributes, wherein the workflows table is defined in the repository for the workflow component;storing a first record in the workflows table for the custom workflow, wherein each of the first plurality of attribute values is stored for the first record in the corresponding field mapped to the corresponding attribute of the first plurality of attributes;receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a second plurality of attribute values for a first stage to include in the custom workflow, wherein each attribute value of the second plurality of attribute values corresponds to a corresponding attribute of a second plurality of attributes defined for a stage component that is available through the microservice;for each attribute value of the second plurality of attribute values: identifying, based on an identifier for the corresponding attribute of the second plurality of attributes, a second record stored in the schema table for the corresponding attribute of the second plurality of attributes; andidentifying, based on mapping data stored in the second record of the schema table, a corresponding field of a stages table mapped to the corresponding attribute of the second plurality of attributes, wherein the stages table is defined in the repository for the stage component; andstoring a first record in the stages table for the first stage to include in the custom workflow, wherein each of the second plurality of attribute values is stored for the first record in the corresponding field mapped to the corresponding attribute of the second plurality of attributes, and storing the first plurality of attribute values and the second plurality of attribute values persists the custom workflow in the microservice.
  • 9. The system of claim 8, wherein the operations further comprise: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a third plurality of attribute values for a second stage to include in the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to a corresponding attribute of the second plurality of attributes;for each attribute value of the third plurality of attribute values: identifying, based on the identifier for the corresponding attribute of the second plurality of attributes, the second record stored in the schema table for the corresponding attribute of the second plurality of attributes; andidentifying, based on the mapping data stored in the second record of the schema table, the corresponding field of the stages table mapped to the corresponding attribute of the second plurality of attributes; andstoring a second record in the stages table for the second stage to include in the custom workflow, wherein each of the third plurality of attribute values is stored for the second record in the corresponding field mapped to the corresponding attribute of the second plurality of attributes and a particular attribute value of the third plurality of attribute values identifies a position in a sequence of the second stage to include in the custom workflow with respect to the first stage to include in the custom workflow.
  • 10. The system of claim 8, wherein the operations further comprise: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a third plurality of attribute values for a first subtask to include in the first stage of the custom workflow, wherein each attribute value of the third plurality of attribute values corresponds to a corresponding attribute of a third plurality of attributes defined for a subtask component that is available through the microservice;for each attribute value of the third plurality of attribute values: identifying, based on an identifier for the corresponding attribute of the third plurality of attributes, a third record stored in the schema table for the corresponding attribute of the third plurality of attributes; andidentifying, based on mapping data stored in the third record of the schema table, a corresponding field of a subtasks table mapped to the corresponding attribute of the third plurality of attributes, wherein the subtasks table is defined in the repository for the subtask component; andstoring a first record in the subtasks table for the first subtask to include in the first stage of the custom workflow, wherein each of the third plurality of attribute values is stored for the first record in the corresponding field mapped to the corresponding attribute of the third plurality of attributes.
  • 11. The system of claim 10, wherein the operations further comprise: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a fourth plurality of attribute values for a second subtask to include in the first stage of the custom workflow, wherein each attribute value of the fourth plurality of attribute values corresponds to a corresponding attribute of the third plurality of attributes;for each attribute value of the fourth plurality of attribute values: identifying, based on the identifier for the corresponding attribute of the third plurality of attributes, the third record stored in the schema table for the corresponding attribute of the third plurality of attributes; andidentifying, based on the mapping data stored in the third record of the schema table, the corresponding field of the subtasks table mapped to the corresponding attribute of the third plurality of attributes; andstoring a second record in the subtasks table for the second subtask to include in the first stage of the custom workflow, wherein each of the fourth plurality of attribute values is stored for the second record in the corresponding field mapped to the corresponding attribute of the third plurality of attributes.
  • 12. The system of claim 8, wherein the operations further comprise: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a condition and an action for a first rule to include in the first stage of the custom workflow, wherein the condition corresponds to a first attribute defined for a rule component and the action corresponds to a second attribute defined for the rule component that is available through the microservice;for the condition: identifying, based on an identifier for the first attribute, a third record stored in the schema table for the first attribute; andidentifying, based on mapping data stored in the third record of the schema table, a first field of a rules table mapped to the first attribute, wherein the rules table is defined in the repository for the rule component;for the action: identifying, based on an identifier for the second attribute, a fourth record stored in the schema table for the second attribute; andidentifying, based on mapping data stored in the fourth record of the schema table, a second field of the rules table mapped to the second attribute; andstoring a first record in the rules table for the first rule to include in the first stage of the custom workflow, wherein the condition and the action are stored for the first record in the first field and the second field, respectively.
  • 13. The system of claim 8, wherein the operations further comprise: receiving, via the graphical user interface, an identifier for a domain object defined within the microservice and an identifier for the custom workflow; andstoring a record in a workflow assignment table defined in the repository for the microservice, the record comprising mapping data that maps the domain object to the custom workflow, wherein storing the record in the workflow assignment table results in the custom workflow being made available for use with an instance generated of the domain object.
  • 14. The system of claim 13, wherein the custom workflow being made available to the instance comprises allowing a user, through a second graphical user interface, to define properties for the first stage of the custom workflow that are applicable to the instance of the domain object.
  • 15. A non-transitory computer-readable medium having program code that is stored thereon, the program code executable by one or more processing devices for performing operations comprising: receiving, via a graphical user interface communicating with at least one endpoint that is available through a microservice, a first attribute value for a custom workflow to include in the microservice, wherein the first attribute value corresponds to a first attribute defined for a workflow component that is available through the microservice;identifying, based on an identifier for the first attribute defined for the workflow component, a first record stored in a schema table for the first attribute, wherein the schema table is defined in a repository for the microservice;identifying, based on mapping data stored in the first record of the schema table, a corresponding field of a workflows table mapped to the first attribute defined for the workflow component, wherein the workflows table is defined in the repository for the workflow component;storing a first record in the workflows table for the custom workflow, wherein the first attribute value is stored for the first record in the corresponding field mapped to the first attribute defined for the workflow component;receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a second attribute value for a first stage to include in the custom workflow, wherein the second attribute value corresponds to a first attribute defined for a stage component that is available through the microservice;identifying, based on an identifier for the first attribute defined for the stage component, a second record stored in the schema table for the first attribute defined for the stage component;identifying, based on mapping data stored in the second record of the schema table, a corresponding field of a stages table mapped to the first attribute defined for the stage component, wherein the stages table is defined in the repository for the stage component; andstoring a first record in the stages table for the first stage to include in the custom workflow, wherein the second attribute value is stored for the first record in the corresponding field mapped to the first attribute defined for the stage component, and storing the first attribute value and the second attribute value persists the custom workflow in the microservice.
  • 16. The non-transitory computer-readable medium of claim 15, wherein the operations further comprise: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a third attribute value for a second stage to include in the custom workflow, wherein the third attribute value corresponds to the first attribute defined for the stage component;identifying, based on the identifier for the first attribute defined for the stage component, the second record stored in the schema table for the first attribute defined for the stage component;identifying, based on the mapping data stored in the second record of the schema table, the corresponding field of the stages table mapped to the first attribute defined for the stage component; andstoring a second record in the stages table for the second stage to include in the custom workflow, wherein the third attribute value is stored for the second record in the corresponding field mapped to the first attribute defined for the stage component.
  • 17. The non-transitory computer-readable medium of claim 15, wherein the operations further comprise: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a third attribute value for a first subtask to include in the first stage of the custom workflow, wherein the third attribute value corresponds to a first attribute defined for a subtask component that is available through the microservice;identifying, based on an identifier for the first attribute defined for the subtask component, a third record stored in the schema table for the first attribute defined for the subtask component;identifying, based on mapping data stored in the third record of the schema table, a corresponding field of a subtasks table mapped to the first attribute defined for the subtask component, wherein the subtasks table is defined in the repository for the subtask component; andstoring a first record in the subtasks table for the first subtask to include in the first stage of the custom workflow, wherein the third attribute value is stored for the first record in the corresponding field mapped to the first attribute defined for the subtask component.
  • 18. The non-transitory computer-readable medium of claim 15, wherein the operations further comprise: receiving, via the graphical user interface communicating with the at least one endpoint that is available through the microservice, a condition and an action for a first rule to include in the first stage of the custom workflow, wherein the condition corresponds to a first attribute defined for a rule component and the action corresponds to a second attribute defined for the rule component that is available through the microservice;for the condition: identifying, based on an identifier for the first attribute defined for the rule component, a third record stored in the schema table for the first attribute defined for the rule component; andidentifying, based on mapping data stored in the third record of the schema table, a first field of a rules table mapped to the first attribute defined for the rule component, wherein the rules table is defined in the repository for the rule component;for the action: identifying, based on an identifier for the second attribute defined for the rule component, a fourth record stored in the schema table for the second attribute defined for the rule component; andidentifying, based on mapping data stored in the fourth record of the schema table, a second field of the rules table mapped to the second attribute defined for the rule component; andstoring a first record in the rules table for the first rule to include in the first stage of the custom workflow, wherein the condition and the action are stored for the first record in the first field and the second field, respectively.
  • 19. The non-transitory computer-readable medium of claim 15, wherein the operations further comprise: receiving, via the graphical user interface, an identifier for a domain object defined within the microservice and an identifier for the custom workflow; andstoring a record in a workflow assignment table defined in the repository, the record comprising mapping data that maps the domain object to the custom workflow, wherein storing the record in the workflow assignment table results in the custom workflow being made available for use with an instance generated of the domain object.
  • 20. The non-transitory computer-readable medium of claim 19, wherein the custom workflow being made available to the instance comprises allowing a user, through a second graphical user interface, to define properties for the first stage of the custom workflow that are applicable to the instance of the domain object.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority from U.S. Provisional Patent Application Ser. No. 63/150,299, filed Feb. 17, 2021, the entire disclosure of which is hereby incorporated herein by reference in its entirety.

US Referenced Citations (1559)
Number Name Date Kind
4536866 Jerome et al. Aug 1985 A
4574350 Starr Mar 1986 A
5193162 Bordsen et al. Mar 1993 A
5276735 Boebert et al. Jan 1994 A
5329447 Leedom, Jr. Jul 1994 A
5404299 Tsurubayashi et al. Apr 1995 A
5535393 Reeve et al. Jul 1996 A
5560005 Hoover et al. Sep 1996 A
5668986 Nilsen et al. Sep 1997 A
5710917 Musa et al. Jan 1998 A
5761529 Raji Jun 1998 A
5764906 Edelstein et al. Jun 1998 A
5872973 Mitchell et al. Feb 1999 A
5913041 Ramanathan et al. Jun 1999 A
5913214 Madnick et al. Jun 1999 A
6016394 Walker Jan 2000 A
6122627 Carey et al. Sep 2000 A
6148297 Swor et al. Nov 2000 A
6148342 Ho Nov 2000 A
6240416 Immon et al. May 2001 B1
6240422 Atkins et al. May 2001 B1
6243816 Fang et al. Jun 2001 B1
6253203 Oflaherty et al. Jun 2001 B1
6263335 Paik et al. Jul 2001 B1
6272631 Thomlinson et al. Aug 2001 B1
6275824 Oflaherty et al. Aug 2001 B1
6282548 Burner et al. Aug 2001 B1
6330562 Boden et al. Dec 2001 B1
6363488 Ginter et al. Mar 2002 B1
6374237 Reese Apr 2002 B1
6374252 Althoff et al. Apr 2002 B1
6408336 Schneider et al. Jun 2002 B1
6427230 Goiffon et al. Jul 2002 B1
6442688 Moses et al. Aug 2002 B1
6446120 Dantressangle Sep 2002 B1
6463488 San Juan Oct 2002 B1
6484149 Jammes et al. Nov 2002 B1
6484180 Lyons et al. Nov 2002 B1
6516314 Birkler et al. Feb 2003 B1
6516337 Tripp et al. Feb 2003 B1
6519571 Guheen et al. Feb 2003 B1
6574631 Subramanian et al. Jun 2003 B1
6591272 Williams Jul 2003 B1
6601233 Underwood Jul 2003 B1
6606744 Mikurak Aug 2003 B1
6611812 Hurtado et al. Aug 2003 B2
6625602 Meredith et al. Sep 2003 B1
6629081 Cornelius et al. Sep 2003 B1
6633878 Underwood Oct 2003 B1
6662192 Rebane Dec 2003 B1
6662357 Bowman-Amuah Dec 2003 B1
6697824 Bowman-Amuah Feb 2004 B1
6699042 Smith et al. Mar 2004 B2
6701314 Conover et al. Mar 2004 B1
6721713 Guheen et al. Apr 2004 B1
6725200 Rost Apr 2004 B1
6732109 Lindberg et al. May 2004 B2
6754665 Futagami et al. Jun 2004 B1
6755344 Mollett et al. Jun 2004 B1
6757685 Raffaele et al. Jun 2004 B2
6757888 Knutson et al. Jun 2004 B1
6816944 Peng Nov 2004 B2
6826693 Yoshida et al. Nov 2004 B1
6850252 Hoffberg Feb 2005 B1
6886101 Glazer et al. Apr 2005 B2
6901346 Tracy et al. May 2005 B2
6904417 Clayton et al. Jun 2005 B2
6909897 Kikuchi Jun 2005 B2
6925443 Baggett, Jr. et al. Aug 2005 B1
6938041 Brandow et al. Aug 2005 B1
6956845 Baker et al. Oct 2005 B2
6978270 Carty et al. Dec 2005 B1
6980927 Tracy et al. Dec 2005 B2
6980987 Kaminer Dec 2005 B2
6983221 Tracy et al. Jan 2006 B2
6985887 Sunstein et al. Jan 2006 B1
6990454 McIntosh Jan 2006 B2
6993448 Tracy et al. Jan 2006 B2
6993495 Smith, Jr. et al. Jan 2006 B2
6996807 Vardi et al. Feb 2006 B1
7003560 Mullen et al. Feb 2006 B1
7003662 Genty et al. Feb 2006 B2
7013290 Ananian Mar 2006 B2
7017105 Flanagin et al. Mar 2006 B2
7023979 Wu et al. Apr 2006 B1
7039594 Gersting May 2006 B1
7039654 Eder May 2006 B1
7047517 Brown et al. May 2006 B1
7051036 Rosnow et al. May 2006 B2
7051038 Yeh et al. May 2006 B1
7058970 Shaw Jun 2006 B2
7069427 Adler et al. Jun 2006 B2
7076558 Dunn Jul 2006 B1
7093200 Schreiber et al. Aug 2006 B2
7095854 Ginter et al. Aug 2006 B1
7100195 Underwood Aug 2006 B1
7120800 Ginter et al. Oct 2006 B2
7124101 Mikurak Oct 2006 B1
7124107 Pishevar et al. Oct 2006 B1
7127705 Christfort et al. Oct 2006 B2
7127741 Bandini et al. Oct 2006 B2
7133845 Ginter et al. Nov 2006 B1
7139999 Bowman-Amuah Nov 2006 B2
7143091 Charnock et al. Nov 2006 B2
7149698 Guheen et al. Dec 2006 B2
7165041 Guheen et al. Jan 2007 B1
7167842 Josephson, II et al. Jan 2007 B1
7167844 Leong et al. Jan 2007 B1
7171379 Menninger et al. Jan 2007 B2
7181438 Szabo Feb 2007 B1
7203929 Vinodkrishnan et al. Apr 2007 B1
7213233 Vinodkrishnan et al. May 2007 B1
7216340 Vinodkrishnan et al. May 2007 B1
7219066 Parks et al. May 2007 B2
7223234 Stupp et al. May 2007 B2
7225460 Barzilai et al. May 2007 B2
7234065 Breslin et al. Jun 2007 B2
7247625 Zhang et al. Jul 2007 B2
7251624 Lee et al. Jul 2007 B1
7260830 Sugimoto Aug 2007 B2
7266566 Kennaley et al. Sep 2007 B1
7272818 Ishimitsu et al. Sep 2007 B2
7275063 Horn Sep 2007 B2
7281020 Fine Oct 2007 B2
7284232 Bates et al. Oct 2007 B1
7284271 Lucovsky et al. Oct 2007 B2
7287280 Young Oct 2007 B2
7290275 Baudoin et al. Oct 2007 B2
7293119 Beale Nov 2007 B2
7299299 Hollenbeck et al. Nov 2007 B2
7302569 Betz et al. Nov 2007 B2
7313575 Carr et al. Dec 2007 B2
7313699 Koga Dec 2007 B2
7313825 Redlich et al. Dec 2007 B2
7315826 Guheen et al. Jan 2008 B1
7315849 Bakalash et al. Jan 2008 B2
7322047 Redlich et al. Jan 2008 B2
7330850 Seibel et al. Feb 2008 B1
7340447 Ghatare Mar 2008 B2
7340776 Zobel et al. Mar 2008 B2
7343434 Kapoor et al. Mar 2008 B2
7346518 Frank et al. Mar 2008 B1
7353204 Liu Apr 2008 B2
7356559 Jacobs et al. Apr 2008 B1
7367014 Griffin Apr 2008 B2
7370025 Pandit May 2008 B1
7376835 Olkin et al. May 2008 B2
7380120 Garcia May 2008 B1
7382903 Ray Jun 2008 B2
7383570 Pinkas et al. Jun 2008 B2
7391854 Salonen et al. Jun 2008 B2
7398393 Mont et al. Jul 2008 B2
7401235 Mowers et al. Jul 2008 B2
7403942 Bayliss Jul 2008 B1
7409354 Putnam et al. Aug 2008 B2
7412402 Cooper Aug 2008 B2
7424680 Carpenter Sep 2008 B2
7428546 Nori et al. Sep 2008 B2
7430585 Sibert Sep 2008 B2
7454457 Lowery et al. Nov 2008 B1
7454508 Mathew et al. Nov 2008 B2
7478157 Bohrer et al. Jan 2009 B2
7480755 Herrell et al. Jan 2009 B2
7487170 Stevens Feb 2009 B2
7493282 Manly et al. Feb 2009 B2
7512987 Williams Mar 2009 B2
7516882 Cucinotta Apr 2009 B2
7523053 Pudhukottai et al. Apr 2009 B2
7529836 Bolen May 2009 B1
7533113 Haddad May 2009 B1
7548968 Bura et al. Jun 2009 B1
7552480 Voss Jun 2009 B1
7562339 Racca et al. Jul 2009 B2
7565685 Ross et al. Jul 2009 B2
7567541 Karimi et al. Jul 2009 B2
7584505 Mondri et al. Sep 2009 B2
7584508 Kashchenko et al. Sep 2009 B1
7587749 Leser et al. Sep 2009 B2
7590705 Mathew et al. Sep 2009 B2
7590972 Axelrod et al. Sep 2009 B2
7603356 Schran et al. Oct 2009 B2
7606783 Carter Oct 2009 B1
7606790 Levy Oct 2009 B2
7607120 Sanyal et al. Oct 2009 B2
7613700 Lobo et al. Nov 2009 B1
7617136 Lessing et al. Nov 2009 B1
7617167 Griffis et al. Nov 2009 B2
7620644 Cote et al. Nov 2009 B2
7627666 DeGiulio et al. Dec 2009 B1
7630874 Fables et al. Dec 2009 B2
7630998 Zhou et al. Dec 2009 B2
7636742 Olavarrieta et al. Dec 2009 B1
7640322 Wendkos et al. Dec 2009 B2
7650497 Thornton et al. Jan 2010 B2
7653592 Flaxman et al. Jan 2010 B1
7657476 Barney Feb 2010 B2
7657694 Mansell et al. Feb 2010 B2
7665073 Meijer et al. Feb 2010 B2
7665125 Heard et al. Feb 2010 B2
7668947 Hutchinson et al. Feb 2010 B2
7673282 Amaru et al. Mar 2010 B2
7676034 Wu et al. Mar 2010 B1
7681034 Lee et al. Mar 2010 B1
7681140 Ebert Mar 2010 B2
7685561 Deem et al. Mar 2010 B2
7685577 Pace et al. Mar 2010 B2
7693593 Ishibashi et al. Apr 2010 B2
7698398 Lai Apr 2010 B1
7702639 Stanley et al. Apr 2010 B2
7707224 Chastagnol et al. Apr 2010 B2
7711995 Morris May 2010 B1
7712029 Ferreira et al. May 2010 B2
7716242 Pae et al. May 2010 B2
7725474 Tamai et al. May 2010 B2
7725875 Waldrep May 2010 B2
7729940 Harvey et al. Jun 2010 B2
7730142 Levasseur et al. Jun 2010 B2
7752124 Green et al. Jul 2010 B2
7756826 Bots et al. Jul 2010 B2
7756987 Wang et al. Jul 2010 B2
7761586 Olenick et al. Jul 2010 B2
7774745 Fildebrandt et al. Aug 2010 B2
7788212 Beckmann et al. Aug 2010 B2
7788222 Shah et al. Aug 2010 B2
7788632 Kuester et al. Aug 2010 B2
7788726 Teixeira Aug 2010 B2
7801758 Gracie et al. Sep 2010 B2
7801826 Labrou et al. Sep 2010 B2
7801912 Ransil et al. Sep 2010 B2
7802305 Leeds Sep 2010 B1
7805349 Yu et al. Sep 2010 B2
7805451 Hosokawa Sep 2010 B2
7813947 DeAngelis et al. Oct 2010 B2
7822620 Dixon et al. Oct 2010 B2
7827523 Ahmed et al. Nov 2010 B2
7836078 Dettinger et al. Nov 2010 B2
7844640 Bender et al. Nov 2010 B2
7849143 Vuong Dec 2010 B2
7853468 Callahan et al. Dec 2010 B2
7853470 Sonnleithner et al. Dec 2010 B2
7853925 Kemmler Dec 2010 B2
7860816 Fokoue-Nkoutche et al. Dec 2010 B2
7870540 Zare et al. Jan 2011 B2
7870608 Shraim et al. Jan 2011 B2
7873541 Klar et al. Jan 2011 B1
7877327 Gwiazda et al. Jan 2011 B2
7877812 Koved et al. Jan 2011 B2
7885841 King Feb 2011 B2
7890461 Oeda et al. Feb 2011 B2
7895260 Archer et al. Feb 2011 B2
7904360 Evans Mar 2011 B2
7904478 Yu et al. Mar 2011 B2
7904487 Ghatare Mar 2011 B2
7917888 Chong et al. Mar 2011 B2
7917963 Goyal et al. Mar 2011 B2
7921152 Ashley et al. Apr 2011 B2
7930197 Ozzie et al. Apr 2011 B2
7930753 Mellinger et al. Apr 2011 B2
7953725 Burris et al. May 2011 B2
7954150 Croft et al. May 2011 B2
7958087 Blumenau Jun 2011 B2
7958494 Chaar et al. Jun 2011 B2
7962900 Barraclough et al. Jun 2011 B2
7966310 Sullivan et al. Jun 2011 B2
7966599 Malasky et al. Jun 2011 B1
7966663 Strickland et al. Jun 2011 B2
7974992 Fastabend et al. Jul 2011 B2
7975000 Dixon et al. Jul 2011 B2
7991559 Dzekunov et al. Aug 2011 B2
7991747 Upadhyay et al. Aug 2011 B1
7996372 Rubel, Jr. Aug 2011 B2
8005891 Knowles et al. Aug 2011 B2
8010612 Costea et al. Aug 2011 B2
8010720 Iwaoka et al. Aug 2011 B2
8019881 Sandhu et al. Sep 2011 B2
8020206 Hubbard et al. Sep 2011 B2
8024384 Prabhakar et al. Sep 2011 B2
8032721 Murai Oct 2011 B2
8036374 Noble, Jr. Oct 2011 B2
8037409 Jacob et al. Oct 2011 B2
8041749 Beck Oct 2011 B2
8041913 Wang Oct 2011 B2
8069161 Bugir et al. Nov 2011 B2
8069471 Boren Nov 2011 B2
8082539 Schelkogonov Dec 2011 B1
8090754 Schmidt et al. Jan 2012 B2
8095923 Harvey et al. Jan 2012 B2
8099709 Baikov et al. Jan 2012 B2
8099765 Parkinson Jan 2012 B2
8103962 Embley et al. Jan 2012 B2
8117441 Kurien et al. Feb 2012 B2
8135815 Mayer Mar 2012 B2
8146054 Baker et al. Mar 2012 B2
8146074 Ito et al. Mar 2012 B2
8150717 Whitmore Apr 2012 B2
8156105 Altounian et al. Apr 2012 B2
8156158 Rolls et al. Apr 2012 B2
8156159 Ebrahimi et al. Apr 2012 B2
8166406 Goldfeder et al. Apr 2012 B1
8176061 Swanbeck et al. May 2012 B2
8176177 Sussman et al. May 2012 B2
8176334 Vainstein May 2012 B2
8176470 Klumpp et al. May 2012 B2
8180759 Hamzy May 2012 B2
8181151 Sedukhin et al. May 2012 B2
8185409 Putnam et al. May 2012 B2
8185497 Vermeulen et al. May 2012 B2
8196176 Berteau et al. Jun 2012 B2
8205093 Argott Jun 2012 B2
8205140 Hafeez et al. Jun 2012 B2
8214362 Djabarov Jul 2012 B1
8214803 Horii et al. Jul 2012 B2
8234377 Cohn Jul 2012 B2
8239244 Ginsberg et al. Aug 2012 B2
8250051 Bugir et al. Aug 2012 B2
8255468 Vitaldevara et al. Aug 2012 B2
8260262 Ben Ayed Sep 2012 B2
8261362 Goodwin et al. Sep 2012 B2
8266231 Golovin et al. Sep 2012 B1
8275632 Awaraji et al. Sep 2012 B2
8275793 Ahmad et al. Sep 2012 B2
8286239 Sutton Oct 2012 B1
8312549 Goldberg et al. Nov 2012 B2
8316237 Felsher et al. Nov 2012 B1
8332908 Hatakeyama et al. Dec 2012 B2
8340999 Kumaran et al. Dec 2012 B2
8341405 Meijer et al. Dec 2012 B2
8346929 Lai Jan 2013 B1
8364713 Pollard Jan 2013 B2
8370224 Grewal Feb 2013 B2
8370794 Moosmann et al. Feb 2013 B2
8380630 Felsher Feb 2013 B2
8380743 Convertino et al. Feb 2013 B2
8381180 Rostoker Feb 2013 B2
8381297 Touboul Feb 2013 B2
8386314 Kirkby et al. Feb 2013 B2
8392982 Harris et al. Mar 2013 B2
8418226 Gardner Apr 2013 B2
8423954 Ronen et al. Apr 2013 B2
8429179 Mirhaji Apr 2013 B1
8429597 Prigge Apr 2013 B2
8429630 Nickolov et al. Apr 2013 B2
8429758 Chen et al. Apr 2013 B2
8438644 Watters et al. May 2013 B2
8448252 King et al. May 2013 B1
8463247 Misiag Jun 2013 B2
8464311 Ashley et al. Jun 2013 B2
8468244 Redlich et al. Jun 2013 B2
8473324 Alvarez et al. Jun 2013 B2
8474012 Ahmed et al. Jun 2013 B2
8494894 Jaster et al. Jul 2013 B2
8504481 Motahari et al. Aug 2013 B2
8510199 Erlanger Aug 2013 B1
8515988 Jones et al. Aug 2013 B2
8516076 Thomas Aug 2013 B2
8527337 Lim et al. Sep 2013 B1
8533746 Nolan et al. Sep 2013 B2
8533844 Mahaffey et al. Sep 2013 B2
8538817 Wilson Sep 2013 B2
8539359 Rapaport et al. Sep 2013 B2
8539437 Finlayson et al. Sep 2013 B2
8560645 Linden et al. Oct 2013 B2
8560841 Chin et al. Oct 2013 B2
8560956 Curtis et al. Oct 2013 B2
8561100 Hu et al. Oct 2013 B2
8561153 Grason et al. Oct 2013 B2
8565729 Moseler et al. Oct 2013 B2
8566726 Dixon et al. Oct 2013 B2
8566938 Prakash et al. Oct 2013 B1
8571909 Miller et al. Oct 2013 B2
8572717 Narayanaswamy Oct 2013 B2
8578036 Holfelder et al. Nov 2013 B1
8578166 De Monseignat et al. Nov 2013 B2
8578481 Rowley Nov 2013 B2
8578501 Ogilvie Nov 2013 B1
8583694 Siegel et al. Nov 2013 B2
8583766 Dixon et al. Nov 2013 B2
8589183 Awaraji et al. Nov 2013 B2
8589372 Krislov Nov 2013 B2
8601467 Hofhansl et al. Dec 2013 B2
8601591 Krishnamurthy et al. Dec 2013 B2
8606746 Yeap et al. Dec 2013 B2
8612420 Sun et al. Dec 2013 B2
8612993 Grant et al. Dec 2013 B2
8615549 Knowles et al. Dec 2013 B2
8615731 Doshi Dec 2013 B2
8620952 Bennett et al. Dec 2013 B2
8621637 Al-Harbi et al. Dec 2013 B2
8626671 Federgreen Jan 2014 B2
8627114 Resch et al. Jan 2014 B2
8630961 Beilby et al. Jan 2014 B2
8631048 Davis et al. Jan 2014 B1
8640110 Kopp et al. Jan 2014 B2
8646072 Savant Feb 2014 B1
8650399 Le Bihan et al. Feb 2014 B2
8655939 Redlich et al. Feb 2014 B2
8656265 Paulin et al. Feb 2014 B1
8656456 Maxson et al. Feb 2014 B2
8661036 Turski et al. Feb 2014 B2
8667074 Farkas Mar 2014 B1
8667487 Boodman et al. Mar 2014 B1
8677472 Dotan et al. Mar 2014 B1
8681984 Lee et al. Mar 2014 B2
8682698 Cashman et al. Mar 2014 B2
8683502 Shkedi et al. Mar 2014 B2
8688601 Jaiswal Apr 2014 B2
8689292 Williams et al. Apr 2014 B2
8693689 Belenkiy et al. Apr 2014 B2
8700524 Williams et al. Apr 2014 B2
8700699 Shen et al. Apr 2014 B2
8706742 Ravid et al. Apr 2014 B1
8707451 Ture et al. Apr 2014 B2
8712813 King Apr 2014 B2
8713098 Adya et al. Apr 2014 B1
8713638 Hu et al. Apr 2014 B2
8719366 Mathew et al. May 2014 B2
8732839 Hohl May 2014 B2
8744894 Christiansen et al. Jun 2014 B2
8751285 Deb et al. Jun 2014 B2
8762406 Ho et al. Jun 2014 B2
8762413 Graham, Jr. et al. Jun 2014 B2
8763071 Sinha et al. Jun 2014 B2
8763082 Huber et al. Jun 2014 B2
8763131 Archer et al. Jun 2014 B2
8767947 Ristock et al. Jul 2014 B1
8769242 Tkac et al. Jul 2014 B2
8769412 Gill et al. Jul 2014 B2
8769671 Shraim et al. Jul 2014 B2
8776241 Zaitsev Jul 2014 B2
8788935 Hirsch et al. Jul 2014 B1
8793614 Wilson et al. Jul 2014 B2
8793650 Hilerio et al. Jul 2014 B2
8793781 Grossi et al. Jul 2014 B2
8793809 Falkenburg et al. Jul 2014 B2
8799984 Ahn Aug 2014 B2
8805707 Schumann, Jr. et al. Aug 2014 B2
8805806 Amarendran et al. Aug 2014 B2
8805925 Price et al. Aug 2014 B2
8812342 Barcelo et al. Aug 2014 B2
8812752 Shih et al. Aug 2014 B1
8812766 Kranendonk et al. Aug 2014 B2
8813028 Farooqi Aug 2014 B2
8813214 McNair et al. Aug 2014 B1
8819253 Simeloff et al. Aug 2014 B2
8819617 Koenig et al. Aug 2014 B1
8819800 Gao et al. Aug 2014 B2
8826446 Liu et al. Sep 2014 B1
8832649 Bishop et al. Sep 2014 B2
8832854 Staddon et al. Sep 2014 B1
8839232 Taylor et al. Sep 2014 B2
8839346 Murgia Sep 2014 B2
8843487 McGraw et al. Sep 2014 B2
8843745 Roberts, Jr. Sep 2014 B2
8849757 Kruglick Sep 2014 B2
8856534 Khosravi et al. Oct 2014 B2
8856936 Datta Ray et al. Oct 2014 B2
8862507 Sandhu et al. Oct 2014 B2
8863261 Yang Oct 2014 B2
8875232 Blom et al. Oct 2014 B2
8893078 Schaude et al. Nov 2014 B2
8893286 Oliver Nov 2014 B1
8893297 Eversoll et al. Nov 2014 B2
8904494 Kindler et al. Dec 2014 B2
8914263 Shimada et al. Dec 2014 B2
8914299 Pesci-Anderson et al. Dec 2014 B2
8914342 Kalaboukis et al. Dec 2014 B2
8914902 Moritz et al. Dec 2014 B2
8918306 Cashman et al. Dec 2014 B2
8918392 Brooker et al. Dec 2014 B1
8918632 Sartor Dec 2014 B1
8930364 Brooker Jan 2015 B1
8930896 Wiggins Jan 2015 B1
8930897 Nassar Jan 2015 B2
8935198 Phillips et al. Jan 2015 B1
8935266 Wu Jan 2015 B2
8935342 Patel Jan 2015 B2
8935804 Clark et al. Jan 2015 B1
8938221 Brazier et al. Jan 2015 B2
8943076 Stewart et al. Jan 2015 B2
8943548 Drokov et al. Jan 2015 B2
8949137 Crapo et al. Feb 2015 B2
8955038 Nicodemus et al. Feb 2015 B2
8959568 Hudis et al. Feb 2015 B2
8959584 Piliouras Feb 2015 B2
8966575 McQuay et al. Feb 2015 B2
8966597 Saylor et al. Feb 2015 B1
8973108 Roth et al. Mar 2015 B1
8977234 Chava Mar 2015 B2
8977643 Schindlauer et al. Mar 2015 B2
8978158 Rajkumar et al. Mar 2015 B2
8983972 Kriebel et al. Mar 2015 B2
8984031 Todd Mar 2015 B1
8990933 Magdalin Mar 2015 B1
8996417 Channakeshava Mar 2015 B1
8996480 Agarwala et al. Mar 2015 B2
8997213 Papakipos et al. Mar 2015 B2
9002939 Laden et al. Apr 2015 B2
9003295 Baschy Apr 2015 B2
9003552 Goodwin et al. Apr 2015 B2
9009851 Droste et al. Apr 2015 B2
9014661 DeCharms Apr 2015 B2
9015796 Fujioka Apr 2015 B1
9021469 Hilerio et al. Apr 2015 B2
9026526 Bau et al. May 2015 B1
9030987 Bianchetti et al. May 2015 B2
9032067 Prasad et al. May 2015 B2
9043217 Cashman et al. May 2015 B2
9043480 Barton et al. May 2015 B2
9047463 Porras Jun 2015 B2
9047582 Hutchinson et al. Jun 2015 B2
9047583 Patton et al. Jun 2015 B2
9047639 Quintiliani et al. Jun 2015 B1
9049244 Prince et al. Jun 2015 B2
9049314 Pugh et al. Jun 2015 B2
9055071 Gates et al. Jun 2015 B1
9058590 Criddle et al. Jun 2015 B2
9064033 Jin et al. Jun 2015 B2
9069940 Hars Jun 2015 B2
9076231 Hill et al. Jul 2015 B1
9077736 Werth et al. Jul 2015 B2
9081952 Sagi et al. Jul 2015 B2
9087090 Cormier et al. Jul 2015 B1
9092478 Vaitheeswaran et al. Jul 2015 B2
9092796 Eversoll et al. Jul 2015 B2
9094434 Williams et al. Jul 2015 B2
9098515 Richter et al. Aug 2015 B2
9100778 Stogaitis et al. Aug 2015 B2
9106691 Burger et al. Aug 2015 B1
9106710 Feimster Aug 2015 B1
9110918 Rajaa et al. Aug 2015 B1
9111105 Barton et al. Aug 2015 B2
9111295 Tietzen et al. Aug 2015 B2
9123339 Shaw et al. Sep 2015 B1
9129311 Schoen et al. Sep 2015 B2
9135261 Maunder et al. Sep 2015 B2
9135444 Carter et al. Sep 2015 B2
9141823 Dawson Sep 2015 B2
9141911 Zhao et al. Sep 2015 B2
9152818 Hathaway et al. Oct 2015 B1
9152820 Pauley, Jr. et al. Oct 2015 B1
9154514 Prakash Oct 2015 B1
9154556 Dotan et al. Oct 2015 B1
9158655 Wadhwani et al. Oct 2015 B2
9165036 Mehra Oct 2015 B2
9170996 Lovric et al. Oct 2015 B2
9172706 Krishnamurthy et al. Oct 2015 B2
9177293 Gagnon et al. Nov 2015 B1
9178901 Xue et al. Nov 2015 B2
9183100 Gventer et al. Nov 2015 B2
9189642 Perlman Nov 2015 B2
9201572 Lyon et al. Dec 2015 B2
9201770 Duerk Dec 2015 B1
9202026 Reeves Dec 2015 B1
9202085 Mawdsley et al. Dec 2015 B2
9215076 Roth et al. Dec 2015 B1
9215252 Smith et al. Dec 2015 B2
9218596 Ronca et al. Dec 2015 B2
9224009 Liu et al. Dec 2015 B1
9230036 Davis Jan 2016 B2
9231935 Bridge et al. Jan 2016 B1
9232040 Barash et al. Jan 2016 B2
9235476 McHugh et al. Jan 2016 B2
9240987 Barrett-Bowen et al. Jan 2016 B2
9241259 Daniela et al. Jan 2016 B2
9245126 Christodorescu et al. Jan 2016 B2
9245266 Hardt Jan 2016 B2
9253609 Hosier, Jr. Feb 2016 B2
9258116 Moskowitz Feb 2016 B2
9264443 Weisman Feb 2016 B2
9274858 Milliron et al. Mar 2016 B2
9280581 Grimes et al. Mar 2016 B1
9286149 Sampson et al. Mar 2016 B2
9286282 Ling, III et al. Mar 2016 B2
9288118 Pattan Mar 2016 B1
9288556 Kim et al. Mar 2016 B2
9294498 Yampolskiy et al. Mar 2016 B1
9299050 Stiffler et al. Mar 2016 B2
9306939 Chan et al. Apr 2016 B2
9317697 Maier et al. Apr 2016 B2
9317715 Schuette et al. Apr 2016 B2
9325731 McGeehan Apr 2016 B2
9336184 Mital et al. May 2016 B2
9336220 Li et al. May 2016 B2
9336324 Lomme et al. May 2016 B2
9336332 Davis et al. May 2016 B2
9336400 Milman et al. May 2016 B2
9338188 Ahn May 2016 B1
9342706 Chawla et al. May 2016 B2
9344297 Shah et al. May 2016 B2
9344424 Tenenboym et al. May 2016 B2
9344484 Ferris May 2016 B2
9348802 Massand May 2016 B2
9348862 Kawecki, III May 2016 B2
9348929 Eberlein May 2016 B2
9349016 Brisebois et al. May 2016 B1
9350718 Sondhi et al. May 2016 B2
9355157 Mohammed et al. May 2016 B2
9356961 Todd et al. May 2016 B1
9361446 Demirjian et al. Jun 2016 B1
9369488 Woods et al. Jun 2016 B2
9374693 Olincy et al. Jun 2016 B1
9384199 Thereska et al. Jul 2016 B2
9384357 Patil et al. Jul 2016 B2
9386078 Reno et al. Jul 2016 B2
9386104 Adams et al. Jul 2016 B2
9396332 Abrams et al. Jul 2016 B2
9401900 Levasseur et al. Jul 2016 B2
9411967 Parecki et al. Aug 2016 B2
9411982 Dippenaar et al. Aug 2016 B1
9417859 Gounares et al. Aug 2016 B2
9418221 Turgeman Aug 2016 B2
9424021 Zamir Aug 2016 B2
9424414 Demirjian et al. Aug 2016 B1
9426177 Wang et al. Aug 2016 B2
9450940 Belov et al. Sep 2016 B2
9460136 Todd et al. Oct 2016 B1
9460171 Marrelli et al. Oct 2016 B2
9460307 Breslau et al. Oct 2016 B2
9461876 Van Dusen et al. Oct 2016 B2
9462009 Kolman et al. Oct 2016 B1
9465702 Gventer et al. Oct 2016 B2
9465800 Lacey Oct 2016 B2
9473446 Vijay et al. Oct 2016 B2
9473505 Asano et al. Oct 2016 B1
9473535 Sartor Oct 2016 B2
9477523 Warman et al. Oct 2016 B1
9477660 Scott et al. Oct 2016 B2
9477685 Leung et al. Oct 2016 B1
9477942 Adachi et al. Oct 2016 B2
9483659 Bao et al. Nov 2016 B2
9489366 Scott et al. Nov 2016 B2
9495547 Schepis et al. Nov 2016 B1
9501523 Hyatt et al. Nov 2016 B2
9507960 Bell et al. Nov 2016 B2
9509674 Nasserbakht et al. Nov 2016 B1
9509702 Grigg et al. Nov 2016 B2
9514231 Eden Dec 2016 B2
9516012 Chochois et al. Dec 2016 B2
9521166 Wilson Dec 2016 B2
9524500 Dave et al. Dec 2016 B2
9529989 Kling et al. Dec 2016 B2
9536108 Powell et al. Jan 2017 B2
9537546 Cordeiro et al. Jan 2017 B2
9542568 Francis et al. Jan 2017 B2
9549047 Fredinburg et al. Jan 2017 B1
9552395 Bayer et al. Jan 2017 B2
9552470 Turgeman et al. Jan 2017 B2
9553918 Manion et al. Jan 2017 B1
9558497 Carvalho Jan 2017 B2
9569752 Deering et al. Feb 2017 B2
9571509 Satish et al. Feb 2017 B1
9571526 Sartor Feb 2017 B2
9571559 Raleigh et al. Feb 2017 B2
9571991 Brizendine et al. Feb 2017 B1
9576289 Henderson et al. Feb 2017 B2
9578060 Brisebois et al. Feb 2017 B1
9578173 Sanghavi et al. Feb 2017 B2
9582681 Mishra Feb 2017 B2
9584964 Pelkey Feb 2017 B2
9589110 Carey et al. Mar 2017 B2
9600181 Patel et al. Mar 2017 B2
9602529 Jones et al. Mar 2017 B2
9606971 Seolas et al. Mar 2017 B2
9607041 Himmelstein Mar 2017 B2
9619652 Slater Apr 2017 B2
9619661 Finkelstein Apr 2017 B1
9621357 Williams et al. Apr 2017 B2
9621566 Gupta et al. Apr 2017 B2
9626124 Lipinski et al. Apr 2017 B2
9626680 Ryan et al. Apr 2017 B1
9629064 Graves et al. Apr 2017 B2
9642008 Wyatt et al. May 2017 B2
9646095 Gottlieb et al. May 2017 B1
9647949 Varki et al. May 2017 B2
9648036 Seiver et al. May 2017 B2
9652314 Mahiddini May 2017 B2
9654506 Barrett May 2017 B2
9654541 Kapczynski et al. May 2017 B1
9665722 Nagasundaram et al. May 2017 B2
9665733 Sills et al. May 2017 B1
9665883 Roullier et al. May 2017 B2
9672053 Tang et al. Jun 2017 B2
9672355 Titonis et al. Jun 2017 B2
9678794 Barrett et al. Jun 2017 B1
9691090 Barday Jun 2017 B1
9699209 Ng et al. Jul 2017 B2
9703549 Dufresne Jul 2017 B2
9704103 Suskind et al. Jul 2017 B2
9705840 Pujare et al. Jul 2017 B2
9705880 Siris Jul 2017 B2
9721078 Cornick et al. Aug 2017 B2
9721108 Krishnamurthy et al. Aug 2017 B2
9727751 Oliver et al. Aug 2017 B2
9729583 Barday Aug 2017 B1
9734148 Bendersky et al. Aug 2017 B2
9734255 Jiang Aug 2017 B2
9736004 Jung et al. Aug 2017 B2
9740985 Byron et al. Aug 2017 B2
9740987 Dolan Aug 2017 B2
9749408 Subramani et al. Aug 2017 B2
9753796 Mahaffey et al. Sep 2017 B2
9754091 Kode et al. Sep 2017 B2
9756059 Demirjian et al. Sep 2017 B2
9760620 Nachnani et al. Sep 2017 B2
9760635 Bliss et al. Sep 2017 B2
9760697 Walker Sep 2017 B1
9760849 Vinnakota et al. Sep 2017 B2
9762553 Ford et al. Sep 2017 B2
9767202 Darby et al. Sep 2017 B2
9767309 Patel et al. Sep 2017 B1
9769124 Yan Sep 2017 B2
9773269 Lazarus Sep 2017 B1
9785795 Grondin et al. Oct 2017 B2
9787671 Bogrett Oct 2017 B1
9798749 Saner Oct 2017 B2
9798826 Wilson et al. Oct 2017 B2
9798896 Jakobsson Oct 2017 B2
9800605 Baikalov et al. Oct 2017 B2
9800606 Yumer Oct 2017 B1
9804649 Cohen et al. Oct 2017 B2
9804928 Davis et al. Oct 2017 B2
9805381 Frank et al. Oct 2017 B2
9811532 Parkison et al. Nov 2017 B2
9817850 Dubbels et al. Nov 2017 B2
9817978 Marsh et al. Nov 2017 B2
9819684 Cernoch et al. Nov 2017 B2
9825928 Lelcuk et al. Nov 2017 B2
9830563 Paknad Nov 2017 B2
9832633 Gerber, Jr. et al. Nov 2017 B2
9836598 Iyer et al. Dec 2017 B2
9838407 Oprea et al. Dec 2017 B1
9838839 Vudali et al. Dec 2017 B2
9841969 Seibert, Jr. et al. Dec 2017 B2
9842042 Chhatwal et al. Dec 2017 B2
9842349 Sawczuk et al. Dec 2017 B2
9848005 Ardeli et al. Dec 2017 B2
9848061 Jain et al. Dec 2017 B1
9852150 Sharpe et al. Dec 2017 B2
9853959 Kapczynski et al. Dec 2017 B1
9860226 Thormaehlen Jan 2018 B2
9864735 Lamprecht Jan 2018 B1
9876825 Amar et al. Jan 2018 B2
9877138 Franklin Jan 2018 B1
9880157 Levak et al. Jan 2018 B2
9882935 Barday Jan 2018 B2
9887965 Kay et al. Feb 2018 B2
9888377 McCorkendale et al. Feb 2018 B1
9892441 Barday Feb 2018 B2
9892442 Barday Feb 2018 B2
9892443 Barday Feb 2018 B2
9892444 Barday Feb 2018 B2
9894076 Li et al. Feb 2018 B2
9898613 Swerdlow et al. Feb 2018 B1
9898739 Monastyrsky et al. Feb 2018 B2
9898769 Barday Feb 2018 B2
9912625 Mutha et al. Mar 2018 B2
9912677 Chien Mar 2018 B2
9912810 Segre et al. Mar 2018 B2
9916703 Levinson et al. Mar 2018 B2
9922124 Rathod Mar 2018 B2
9923927 McClintock et al. Mar 2018 B1
9928379 Hoffer Mar 2018 B1
9934406 Khan et al. Apr 2018 B2
9934493 Castinado et al. Apr 2018 B2
9934544 Whitfield et al. Apr 2018 B1
9936127 Todasco Apr 2018 B2
9942214 Burciu et al. Apr 2018 B1
9942244 Lahoz et al. Apr 2018 B2
9942276 Sartor Apr 2018 B2
9946897 Lovin Apr 2018 B2
9948652 Yu et al. Apr 2018 B2
9948663 Wang et al. Apr 2018 B1
9953189 Cook et al. Apr 2018 B2
9954879 Sadaghiani et al. Apr 2018 B1
9954883 Ahuja et al. Apr 2018 B2
9959551 Schermerhorn et al. May 2018 B1
9959582 Sukman et al. May 2018 B2
9961070 Tang May 2018 B2
9973518 Lee et al. May 2018 B2
9973585 Ruback et al. May 2018 B2
9977904 Khan et al. May 2018 B2
9977920 Danielson et al. May 2018 B2
9983936 Dornemann et al. May 2018 B2
9984252 Pollard May 2018 B2
9990499 Chan et al. Jun 2018 B2
9992213 Sinnema Jun 2018 B2
10001975 Bharthulwar Jun 2018 B2
10002064 Muske Jun 2018 B2
10007895 Vanasco Jun 2018 B2
10013577 Beaumont et al. Jul 2018 B1
10015164 Hamburg et al. Jul 2018 B2
10019339 Von Hanxleden et al. Jul 2018 B2
10019588 Garcia et al. Jul 2018 B2
10019591 Beguin Jul 2018 B1
10019741 Hesselink Jul 2018 B2
10021143 Cabrera et al. Jul 2018 B2
10025804 Vranyes et al. Jul 2018 B2
10028226 Ayyagari et al. Jul 2018 B2
10032172 Barday Jul 2018 B2
10044761 Ducatel et al. Aug 2018 B2
10055426 Arasan et al. Aug 2018 B2
10055869 Borrelli et al. Aug 2018 B2
10061847 Mohammed et al. Aug 2018 B2
10069858 Robinson et al. Sep 2018 B2
10069914 Smith Sep 2018 B1
10073924 Karp et al. Sep 2018 B2
10075437 Costigan et al. Sep 2018 B1
10075451 Hall et al. Sep 2018 B1
10084817 Saher et al. Sep 2018 B2
10091214 Godlewski et al. Oct 2018 B2
10091312 Khanwalkar et al. Oct 2018 B1
10097551 Chan et al. Oct 2018 B2
10102533 Barday Oct 2018 B2
10108409 Pirzadeh et al. Oct 2018 B2
10122663 Hu et al. Nov 2018 B2
10122760 Terrill et al. Nov 2018 B2
10127403 Kong et al. Nov 2018 B2
10129211 Heath Nov 2018 B2
10140666 Wang et al. Nov 2018 B1
10142113 Zaidi et al. Nov 2018 B2
10152560 Potiagalov et al. Dec 2018 B2
10158676 Barday Dec 2018 B2
10165011 Barday Dec 2018 B2
10169762 Ogawa Jan 2019 B2
10176503 Barday et al. Jan 2019 B2
10181043 Pauley, Jr. et al. Jan 2019 B1
10181051 Barday et al. Jan 2019 B2
10187363 Smirnoff et al. Jan 2019 B2
10187394 Bar et al. Jan 2019 B2
10204154 Barday et al. Feb 2019 B2
10205994 Splaine et al. Feb 2019 B2
10212134 Rai Feb 2019 B2
10212175 Seul et al. Feb 2019 B2
10223533 Dawson Mar 2019 B2
10230571 Rangasamy et al. Mar 2019 B2
10230711 Kohli Mar 2019 B2
10250594 Chathoth et al. Apr 2019 B2
10255602 Wang Apr 2019 B2
10257127 Dotan-Cohen et al. Apr 2019 B2
10257181 Sherif et al. Apr 2019 B1
10268838 Yadgiri et al. Apr 2019 B2
10275221 Thattai et al. Apr 2019 B2
10275614 Barday et al. Apr 2019 B2
10282370 Barday et al. May 2019 B1
10282559 Barday et al. May 2019 B2
10284604 Barday et al. May 2019 B2
10289584 Chiba May 2019 B2
10289857 Brinskelle May 2019 B1
10289866 Barday et al. May 2019 B2
10289867 Barday et al. May 2019 B2
10289870 Barday et al. May 2019 B2
10296504 Hock et al. May 2019 B2
10304442 Rudden et al. May 2019 B1
10310723 Rathod Jun 2019 B2
10311042 Kumar Jun 2019 B1
10311475 Yuasa Jun 2019 B2
10311492 Gelfenbeyn et al. Jun 2019 B2
10318761 Barday et al. Jun 2019 B2
10320940 Brennan et al. Jun 2019 B1
10324960 Skvortsov et al. Jun 2019 B1
10326768 Verweyst et al. Jun 2019 B2
10326798 Lambert Jun 2019 B2
10326841 Bradley et al. Jun 2019 B2
10327100 Davis et al. Jun 2019 B1
10331689 Sorrentino et al. Jun 2019 B2
10331904 Sher-Jan et al. Jun 2019 B2
10333975 Soman et al. Jun 2019 B2
10339470 Dutta et al. Jul 2019 B1
10346186 Kalyanpur Jul 2019 B2
10346635 Kumar et al. Jul 2019 B2
10346637 Barday et al. Jul 2019 B2
10346638 Barday et al. Jul 2019 B2
10346849 Ionescu et al. Jul 2019 B2
10348726 Caluwaert Jul 2019 B2
10348775 Barday Jul 2019 B2
10353673 Barday et al. Jul 2019 B2
10361857 Woo Jul 2019 B2
10366241 Sartor Jul 2019 B2
10373119 Driscoll et al. Aug 2019 B2
10373409 White et al. Aug 2019 B2
10375115 Mallya Aug 2019 B2
10387559 Wendt et al. Aug 2019 B1
10387577 Hill et al. Aug 2019 B2
10387657 Belfiore, Jr. et al. Aug 2019 B2
10387952 Sandhu et al. Aug 2019 B1
10395201 Vescio Aug 2019 B2
10402545 Gorfein et al. Sep 2019 B2
10404729 Turgeman Sep 2019 B2
10417401 Votaw et al. Sep 2019 B2
10417621 Cassel et al. Sep 2019 B2
10419476 Parekh Sep 2019 B2
10423985 Dutta et al. Sep 2019 B1
10425492 Comstock et al. Sep 2019 B2
10430608 Peri et al. Oct 2019 B2
10435350 Ito et al. Oct 2019 B2
10437412 Barday et al. Oct 2019 B2
10437860 Barday et al. Oct 2019 B2
10438016 Barday et al. Oct 2019 B2
10438273 Burns et al. Oct 2019 B2
10440062 Barday et al. Oct 2019 B2
10445508 Sher-Jan et al. Oct 2019 B2
10445526 Barday et al. Oct 2019 B2
10452864 Barday et al. Oct 2019 B2
10452866 Barday et al. Oct 2019 B2
10453076 Parekh et al. Oct 2019 B2
10453092 Wang et al. Oct 2019 B1
10454934 Parimi et al. Oct 2019 B2
10460322 Williamson et al. Oct 2019 B2
10481763 Bartkiewicz et al. Nov 2019 B2
10489454 Chen Nov 2019 B1
10503926 Barday et al. Dec 2019 B2
10510031 Barday et al. Dec 2019 B2
10521623 Rodriguez et al. Dec 2019 B2
10534851 Chan et al. Jan 2020 B1
10535081 Ferreira et al. Jan 2020 B2
10536475 McCorkle, Jr. et al. Jan 2020 B1
10536478 Kirti et al. Jan 2020 B2
10541938 Timmerman et al. Jan 2020 B1
10546135 Kassoumeh et al. Jan 2020 B1
10552462 Hart Feb 2020 B1
10558809 Joyce et al. Feb 2020 B1
10558821 Barday et al. Feb 2020 B2
10564815 Soon-Shiong Feb 2020 B2
10564935 Barday et al. Feb 2020 B2
10564936 Barday et al. Feb 2020 B2
10565161 Barday et al. Feb 2020 B2
10565236 Barday et al. Feb 2020 B1
10567439 Barday Feb 2020 B2
10567517 Weinig et al. Feb 2020 B2
10572684 Lafever et al. Feb 2020 B2
10572686 Barday et al. Feb 2020 B2
10574705 Barday et al. Feb 2020 B2
10581825 Poschel et al. Mar 2020 B2
10592648 Barday et al. Mar 2020 B2
10592692 Brannon et al. Mar 2020 B2
10606916 Brannon et al. Mar 2020 B2
10613971 Vasikarla Apr 2020 B1
10614365 Sathish et al. Apr 2020 B2
10628553 Murrish et al. Apr 2020 B1
10645102 Hamdi May 2020 B2
10645548 Reynolds et al. May 2020 B2
10649630 Vora et al. May 2020 B1
10650408 Andersen et al. May 2020 B1
10657469 Bade et al. May 2020 B2
10657504 Zimmerman et al. May 2020 B1
10659566 Luah et al. May 2020 B1
10671749 Felice-Steele et al. Jun 2020 B2
10671760 Esmailzadeh et al. Jun 2020 B2
10678945 Barday et al. Jun 2020 B2
10685140 Barday et al. Jun 2020 B2
10706176 Brannon et al. Jul 2020 B2
10706226 Byun et al. Jul 2020 B2
10708305 Barday et al. Jul 2020 B2
10713387 Brannon et al. Jul 2020 B2
10726145 Duminy et al. Jul 2020 B2
10726153 Nerurkar et al. Jul 2020 B2
10726158 Brannon et al. Jul 2020 B2
10732865 Jain et al. Aug 2020 B2
10735388 Rose et al. Aug 2020 B2
10740487 Barday et al. Aug 2020 B2
10747893 Kiriyama et al. Aug 2020 B2
10747897 Cook Aug 2020 B2
10749870 Brouillette et al. Aug 2020 B2
10762213 Rudek et al. Sep 2020 B2
10762236 Brannon et al. Sep 2020 B2
10769302 Barday et al. Sep 2020 B2
10769303 Brannon et al. Sep 2020 B2
10776510 Antonelli et al. Sep 2020 B2
10776518 Barday et al. Sep 2020 B2
10778792 Handy Bosma et al. Sep 2020 B1
10783256 Brannon et al. Sep 2020 B2
10785173 Willett et al. Sep 2020 B2
10785299 Gupta et al. Sep 2020 B2
10791150 Barday et al. Sep 2020 B2
10795527 Legge et al. Oct 2020 B1
10796020 Barday et al. Oct 2020 B2
10796260 Brannon et al. Oct 2020 B2
10798133 Barday et al. Oct 2020 B2
10803196 Bodegas Martinez et al. Oct 2020 B2
10805331 Boyer et al. Oct 2020 B2
10831831 Greene Nov 2020 B2
10834590 Turgeman et al. Nov 2020 B2
10846433 Brannon et al. Nov 2020 B2
10853501 Brannon Dec 2020 B2
10860721 Gentile Dec 2020 B1
10860742 Joseph et al. Dec 2020 B2
10860979 Geffen et al. Dec 2020 B2
10878127 Brannon et al. Dec 2020 B2
10885485 Brannon et al. Jan 2021 B2
10891393 Currier et al. Jan 2021 B2
10893074 Sartor Jan 2021 B2
10896394 Brannon et al. Jan 2021 B2
10902490 He et al. Jan 2021 B2
10909488 Hecht et al. Feb 2021 B2
10924514 Altman et al. Feb 2021 B1
10929557 Chavez Feb 2021 B2
10949555 Rattan et al. Mar 2021 B2
10949565 Barday et al. Mar 2021 B2
10956213 Chambers Mar 2021 B1
10957326 Bhaya et al. Mar 2021 B2
10963571 Bar Joseph et al. Mar 2021 B2
10963572 Belfiore, Jr. et al. Mar 2021 B2
10965547 Esposito et al. Mar 2021 B1
10970418 Durvasula et al. Apr 2021 B2
10972509 Barday et al. Apr 2021 B2
10976950 Trezzo et al. Apr 2021 B1
10983963 Venkatasubramanian et al. Apr 2021 B1
10984458 Gutierrez Apr 2021 B1
10997318 Barday et al. May 2021 B2
11003748 Oliker et al. May 2021 B2
11012475 Patnala et al. May 2021 B2
11023528 Lee Jun 2021 B1
11037168 Lee Jun 2021 B1
11057356 Malhotra et al. Jul 2021 B2
11057427 Wright et al. Jul 2021 B2
11062051 Barday et al. Jul 2021 B2
11068318 Kuesel et al. Jul 2021 B2
11068584 Burriesci et al. Jul 2021 B2
11068618 Brannon et al. Jul 2021 B2
11068797 Bhide et al. Jul 2021 B2
11068847 Boutros et al. Jul 2021 B2
11093950 Hersh et al. Aug 2021 B2
11138299 Brannon et al. Oct 2021 B2
11144622 Brannon et al. Oct 2021 B2
11144678 Dondini et al. Oct 2021 B2
11144862 Jackson et al. Oct 2021 B1
11195134 Brannon et al. Dec 2021 B2
11201929 Dudmesh et al. Dec 2021 B2
11210420 Brannon et al. Dec 2021 B2
11238390 Brannon et al. Feb 2022 B2
11240273 Barday et al. Feb 2022 B2
11252159 Kannan et al. Feb 2022 B2
11256777 Brannon et al. Feb 2022 B2
11263262 Chen Mar 2022 B2
11327996 Reynolds et al. May 2022 B2
11443062 Latka Sep 2022 B2
20020004736 Roundtree et al. Jan 2002 A1
20020049907 Woods et al. Apr 2002 A1
20020055932 Wheeler et al. May 2002 A1
20020077941 Halligan et al. Jun 2002 A1
20020103854 Okita Aug 2002 A1
20020129216 Collins Sep 2002 A1
20020161594 Bryan et al. Oct 2002 A1
20020161733 Grainger Oct 2002 A1
20030041250 Proudler Feb 2003 A1
20030065641 Chaloux Apr 2003 A1
20030093680 Astley et al. May 2003 A1
20030097451 Bjorksten et al. May 2003 A1
20030097661 Li et al. May 2003 A1
20030115142 Brickell et al. Jun 2003 A1
20030130893 Farmer Jul 2003 A1
20030131001 Matsuo Jul 2003 A1
20030131093 Aschen et al. Jul 2003 A1
20030140150 Kemp et al. Jul 2003 A1
20030167216 Brown et al. Sep 2003 A1
20030212604 Cullen Nov 2003 A1
20040002818 Kulp et al. Jan 2004 A1
20040025053 Hayward Feb 2004 A1
20040088235 Ziekle et al. May 2004 A1
20040098366 Sinclair et al. May 2004 A1
20040098493 Rees May 2004 A1
20040111359 Hudock Jun 2004 A1
20040128508 Wheeler et al. Jul 2004 A1
20040186912 Harlow et al. Sep 2004 A1
20040193907 Patanella Sep 2004 A1
20050022198 Olapurath et al. Jan 2005 A1
20050033616 Vavul et al. Feb 2005 A1
20050076294 Dehamer et al. Apr 2005 A1
20050114343 Wesinger et al. May 2005 A1
20050144066 Cope et al. Jun 2005 A1
20050197884 Mullen Sep 2005 A1
20050198177 Black Sep 2005 A1
20050198646 Kortela Sep 2005 A1
20050246292 Sarcanin Nov 2005 A1
20050278538 Fowler Dec 2005 A1
20060031078 Pizzinger et al. Feb 2006 A1
20060035204 LaMarche et al. Feb 2006 A1
20060041507 Novack et al. Feb 2006 A1
20060075122 Lindskog et al. Apr 2006 A1
20060149730 Curtis Jul 2006 A1
20060156052 Bodnar et al. Jul 2006 A1
20060190280 Hoebel et al. Aug 2006 A1
20060206375 Scott et al. Sep 2006 A1
20060224422 Cohen Oct 2006 A1
20060253597 Mujica Nov 2006 A1
20060259416 Johnson Nov 2006 A1
20070011058 Dev Jan 2007 A1
20070027715 Gropper et al. Feb 2007 A1
20070061125 Bhatt et al. Mar 2007 A1
20070061393 Moore Mar 2007 A1
20070130101 Anderson et al. Jun 2007 A1
20070130323 Landsman et al. Jun 2007 A1
20070157311 Meier et al. Jul 2007 A1
20070173355 Klein Jul 2007 A1
20070179793 Bagchi et al. Aug 2007 A1
20070180490 Renzi et al. Aug 2007 A1
20070192438 Goei Aug 2007 A1
20070266420 Hawkins et al. Nov 2007 A1
20070283171 Breslin et al. Dec 2007 A1
20080005194 Smolen et al. Jan 2008 A1
20080015927 Ramirez Jan 2008 A1
20080028065 Caso et al. Jan 2008 A1
20080028435 Strickland et al. Jan 2008 A1
20080046982 Parkinson Feb 2008 A1
20080047016 Spoonamore Feb 2008 A1
20080077512 Grewal Mar 2008 A1
20080120699 Spear May 2008 A1
20080140696 Mathuria Jun 2008 A1
20080189306 Hewett et al. Aug 2008 A1
20080195436 Whyte Aug 2008 A1
20080222271 Spires Sep 2008 A1
20080235177 Kim et al. Sep 2008 A1
20080270203 Holmes et al. Oct 2008 A1
20080270351 Thomsen Oct 2008 A1
20080270381 Thomsen Oct 2008 A1
20080270382 Thomsen et al. Oct 2008 A1
20080270451 Thomsen et al. Oct 2008 A1
20080270462 Thomsen Oct 2008 A1
20080281649 Morris Nov 2008 A1
20080282320 Denovo et al. Nov 2008 A1
20080288271 Faust Nov 2008 A1
20080288299 Schultz Nov 2008 A1
20090012896 Arnold Jan 2009 A1
20090022301 Mudaliar Jan 2009 A1
20090037975 Ishikawa et al. Feb 2009 A1
20090119500 Roth et al. May 2009 A1
20090132419 Grammer et al. May 2009 A1
20090138276 Hayashida et al. May 2009 A1
20090140035 Miller Jun 2009 A1
20090144702 Atkin et al. Jun 2009 A1
20090158249 Tomkins et al. Jun 2009 A1
20090172705 Cheong Jul 2009 A1
20090182818 Krywaniuk Jul 2009 A1
20090187764 Astakhov et al. Jul 2009 A1
20090204452 Iskandar et al. Aug 2009 A1
20090204820 Brandenburg et al. Aug 2009 A1
20090210347 Sarcanin Aug 2009 A1
20090216610 Chorny Aug 2009 A1
20090249076 Reed et al. Oct 2009 A1
20090303237 Liu et al. Dec 2009 A1
20100010912 Jones et al. Jan 2010 A1
20100010968 Redlich et al. Jan 2010 A1
20100077484 Paretti et al. Mar 2010 A1
20100082533 Nakamura et al. Apr 2010 A1
20100094650 Tran et al. Apr 2010 A1
20100100398 Auker et al. Apr 2010 A1
20100121773 Currier et al. May 2010 A1
20100161973 Chin et al. Jun 2010 A1
20100192201 Shimoni et al. Jul 2010 A1
20100205057 Hook et al. Aug 2010 A1
20100223349 Thorson Sep 2010 A1
20100228786 Török Sep 2010 A1
20100234987 Benschop et al. Sep 2010 A1
20100235297 Mamorsky Sep 2010 A1
20100235915 Memon et al. Sep 2010 A1
20100262624 Pullikottil Oct 2010 A1
20100268628 Pitkow et al. Oct 2010 A1
20100268932 Bhattacharjee Oct 2010 A1
20100281313 White et al. Nov 2010 A1
20100287114 Bartko et al. Nov 2010 A1
20100333012 Adachi et al. Dec 2010 A1
20110006996 Smith et al. Jan 2011 A1
20110010202 Neale Jan 2011 A1
20110082794 Blechman Apr 2011 A1
20110137696 Meyer et al. Jun 2011 A1
20110145154 Rivers et al. Jun 2011 A1
20110153396 Marcuvitz et al. Jun 2011 A1
20110191664 Sheleheda et al. Aug 2011 A1
20110208850 Sheleheda et al. Aug 2011 A1
20110209067 Bogess et al. Aug 2011 A1
20110231896 Tovar Sep 2011 A1
20110238573 Varadarajan Sep 2011 A1
20110252456 Hatakeyama Oct 2011 A1
20110302643 Pichna et al. Dec 2011 A1
20120019379 Ayed Jan 2012 A1
20120041939 Amsterdamski Feb 2012 A1
20120084151 Kozak et al. Apr 2012 A1
20120084349 Lee et al. Apr 2012 A1
20120102411 Sathish Apr 2012 A1
20120102543 Kohli et al. Apr 2012 A1
20120110674 Belani et al. May 2012 A1
20120116923 Irving et al. May 2012 A1
20120131438 Li et al. May 2012 A1
20120143650 Crowley et al. Jun 2012 A1
20120144499 Tan et al. Jun 2012 A1
20120191596 Kremen et al. Jul 2012 A1
20120226621 Petran et al. Sep 2012 A1
20120239557 Weinflash et al. Sep 2012 A1
20120254320 Dove et al. Oct 2012 A1
20120259752 Agee Oct 2012 A1
20120323700 Aleksandrovich et al. Dec 2012 A1
20120324113 Prince et al. Dec 2012 A1
20120330769 Arceo Dec 2012 A1
20120330869 Durham Dec 2012 A1
20130004933 Bhaskaran Jan 2013 A1
20130018954 Cheng Jan 2013 A1
20130085801 Sharpe et al. Apr 2013 A1
20130091156 Raiche et al. Apr 2013 A1
20130103485 Postrel Apr 2013 A1
20130111323 Taghaddos et al. May 2013 A1
20130124257 Schubert May 2013 A1
20130152041 Hatfield Jun 2013 A1
20130159351 Hamann et al. Jun 2013 A1
20130166573 Vaitheeswaran et al. Jun 2013 A1
20130171968 Wang Jul 2013 A1
20130179982 Bridges et al. Jul 2013 A1
20130179988 Bekker et al. Jul 2013 A1
20130185806 Hatakeyama Jul 2013 A1
20130211872 Cherry et al. Aug 2013 A1
20130218829 Martinez Aug 2013 A1
20130219459 Bradley Aug 2013 A1
20130254649 ONeill et al. Sep 2013 A1
20130254699 Bashir et al. Sep 2013 A1
20130262328 Federgreen Oct 2013 A1
20130282466 Hampton Oct 2013 A1
20130290169 Bathula et al. Oct 2013 A1
20130298071 Wine Nov 2013 A1
20130311224 Heroux et al. Nov 2013 A1
20130318207 Dotter Nov 2013 A1
20130326112 Park et al. Dec 2013 A1
20130332362 Ciurea Dec 2013 A1
20130340086 Blom Dec 2013 A1
20140006355 Kirihata Jan 2014 A1
20140006616 Aad et al. Jan 2014 A1
20140012833 Humprecht Jan 2014 A1
20140019561 Belity et al. Jan 2014 A1
20140032259 Lafever et al. Jan 2014 A1
20140032265 Paprocki Jan 2014 A1
20140040134 Peter Feb 2014 A1
20140040161 Jason Feb 2014 A1
20140040979 Barton et al. Feb 2014 A1
20140041048 Goodwin et al. Feb 2014 A1
20140047551 Nagasundaram et al. Feb 2014 A1
20140052463 Cashman et al. Feb 2014 A1
20140067973 Eden Mar 2014 A1
20140074550 Chourey Mar 2014 A1
20140074645 Ingram Mar 2014 A1
20140089027 Brown Mar 2014 A1
20140089039 McClellan Mar 2014 A1
20140108173 Cooper et al. Apr 2014 A1
20140108968 Vishria Apr 2014 A1
20140137257 Martinez et al. May 2014 A1
20140142988 Grosso et al. May 2014 A1
20140143011 Mudugu et al. May 2014 A1
20140143844 Goertzen May 2014 A1
20140164476 Thomson Jun 2014 A1
20140188956 Subba et al. Jul 2014 A1
20140196143 Fliderman et al. Jul 2014 A1
20140208418 Libin Jul 2014 A1
20140222468 Araya et al. Aug 2014 A1
20140244309 Francois Aug 2014 A1
20140244325 Cartwright Aug 2014 A1
20140244375 Kim Aug 2014 A1
20140244399 Orduna et al. Aug 2014 A1
20140257917 Spencer et al. Sep 2014 A1
20140258093 Gardiner et al. Sep 2014 A1
20140278539 Edwards Sep 2014 A1
20140278663 Samuel et al. Sep 2014 A1
20140278730 Muhart et al. Sep 2014 A1
20140283027 Orona et al. Sep 2014 A1
20140283106 Stahura et al. Sep 2014 A1
20140288971 Whibbs, III Sep 2014 A1
20140289681 Wielgosz Sep 2014 A1
20140289862 Gorfein et al. Sep 2014 A1
20140317171 Fox et al. Oct 2014 A1
20140324480 Dufel et al. Oct 2014 A1
20140337041 Madden et al. Nov 2014 A1
20140337466 Li et al. Nov 2014 A1
20140344015 Puértolas-Montañés et al. Nov 2014 A1
20150006514 Hung Jan 2015 A1
20150012363 Grant et al. Jan 2015 A1
20150019530 Felch Jan 2015 A1
20150026056 Calman et al. Jan 2015 A1
20150026260 Worthley Jan 2015 A1
20150033112 Norwood et al. Jan 2015 A1
20150066577 Christiansen et al. Mar 2015 A1
20150066865 Yara et al. Mar 2015 A1
20150088598 Acharyya et al. Mar 2015 A1
20150089585 Novack Mar 2015 A1
20150106264 Johnson Apr 2015 A1
20150106867 Liang Apr 2015 A1
20150106948 Holman et al. Apr 2015 A1
20150106949 Holman et al. Apr 2015 A1
20150121462 Courage et al. Apr 2015 A1
20150143258 Carolan et al. May 2015 A1
20150149362 Baum et al. May 2015 A1
20150154520 Federgreen et al. Jun 2015 A1
20150163121 Mahaffey et al. Jun 2015 A1
20150169318 Nash Jun 2015 A1
20150172296 Fujioka Jun 2015 A1
20150178740 Borawski et al. Jun 2015 A1
20150199534 Francis et al. Jul 2015 A1
20150199541 Koch et al. Jul 2015 A1
20150199702 Singh Jul 2015 A1
20150205955 Turgeman Jul 2015 A1
20150229664 Hawthorn et al. Aug 2015 A1
20150235049 Cohen et al. Aug 2015 A1
20150235050 Wouhaybi et al. Aug 2015 A1
20150235283 Nishikawa Aug 2015 A1
20150242778 Wilcox et al. Aug 2015 A1
20150242858 Smith et al. Aug 2015 A1
20150248391 Watanabe Sep 2015 A1
20150254597 Jahagirdar Sep 2015 A1
20150261887 Joukov Sep 2015 A1
20150262189 Vergeer Sep 2015 A1
20150264417 Spitz et al. Sep 2015 A1
20150269384 Holman et al. Sep 2015 A1
20150271167 Kalai Sep 2015 A1
20150288715 Hotchkiss Oct 2015 A1
20150309813 Patel Oct 2015 A1
20150310227 Ishida et al. Oct 2015 A1
20150310575 Shelton Oct 2015 A1
20150348200 Fair et al. Dec 2015 A1
20150356362 Demos Dec 2015 A1
20150379430 Dirac et al. Dec 2015 A1
20160006760 Lala et al. Jan 2016 A1
20160012465 Sharp Jan 2016 A1
20160026394 Goto Jan 2016 A1
20160034918 Bjelajac et al. Feb 2016 A1
20160048700 Stransky-Heilkron Feb 2016 A1
20160050213 Storr Feb 2016 A1
20160063523 Nistor et al. Mar 2016 A1
20160063567 Srivastava Mar 2016 A1
20160071020 Sathish et al. Mar 2016 A1
20160071112 Unser Mar 2016 A1
20160080405 Schler et al. Mar 2016 A1
20160087957 Shah et al. Mar 2016 A1
20160094566 Parekh Mar 2016 A1
20160099963 Mahaffey et al. Apr 2016 A1
20160103963 Mishra Apr 2016 A1
20160104259 Menrad Apr 2016 A1
20160124742 Rangasamy et al. May 2016 A1
20160125550 Joao et al. May 2016 A1
20160125749 Delacroix et al. May 2016 A1
20160125751 Barker et al. May 2016 A1
20160140466 Sidebottom et al. May 2016 A1
20160143570 Valacich et al. May 2016 A1
20160148143 Anderson et al. May 2016 A1
20160162269 Pogorelik et al. Jun 2016 A1
20160164915 Cook Jun 2016 A1
20160180386 Konig Jun 2016 A1
20160188450 Appusamy et al. Jun 2016 A1
20160189156 Kim et al. Jun 2016 A1
20160196189 Miyagi et al. Jul 2016 A1
20160203331 Khan et al. Jul 2016 A1
20160225000 Glasgow Aug 2016 A1
20160232465 Kurtz et al. Aug 2016 A1
20160232534 Lacey et al. Aug 2016 A1
20160234319 Griffin Aug 2016 A1
20160253497 Christodorescu et al. Sep 2016 A1
20160255139 Rathod Sep 2016 A1
20160261631 Vissamsetty et al. Sep 2016 A1
20160262163 Gonzalez Garrido et al. Sep 2016 A1
20160292453 Patterson et al. Oct 2016 A1
20160292621 Ciccone et al. Oct 2016 A1
20160321582 Broudou et al. Nov 2016 A1
20160321748 Mahatma et al. Nov 2016 A1
20160330237 Edlabadkar Nov 2016 A1
20160335531 Mullen et al. Nov 2016 A1
20160342811 Whitcomb et al. Nov 2016 A1
20160350836 Burns et al. Dec 2016 A1
20160359861 Manov et al. Dec 2016 A1
20160364736 Maugans, III Dec 2016 A1
20160370954 Burningham et al. Dec 2016 A1
20160378762 Rohter Dec 2016 A1
20160381064 Chan et al. Dec 2016 A1
20160381560 Margaliot Dec 2016 A1
20170004055 Horan et al. Jan 2017 A1
20170032395 Kaufman et al. Feb 2017 A1
20170032408 Kumar et al. Feb 2017 A1
20170034101 Kumar et al. Feb 2017 A1
20170041324 Ionutescu et al. Feb 2017 A1
20170046399 Sankaranarasimhan et al. Feb 2017 A1
20170046753 Deupree, IV Feb 2017 A1
20170061501 Horwich Mar 2017 A1
20170063881 Doganata et al. Mar 2017 A1
20170068785 Experton et al. Mar 2017 A1
20170070495 Cherry et al. Mar 2017 A1
20170093917 Chandra et al. Mar 2017 A1
20170115864 Thomas et al. Apr 2017 A1
20170124570 Nidamanuri et al. May 2017 A1
20170140174 Lacey et al. May 2017 A1
20170140467 Neag et al. May 2017 A1
20170142158 Laoutaris et al. May 2017 A1
20170142177 Hu May 2017 A1
20170154188 Meier et al. Jun 2017 A1
20170161520 Lockhart, III et al. Jun 2017 A1
20170171235 Mulchandani et al. Jun 2017 A1
20170171325 Perez Jun 2017 A1
20170177324 Frank et al. Jun 2017 A1
20170177681 Potiagalov Jun 2017 A1
20170180378 Tyler et al. Jun 2017 A1
20170180505 Shaw et al. Jun 2017 A1
20170193017 Migliori Jul 2017 A1
20170193624 Tsai Jul 2017 A1
20170201518 Holmqvist et al. Jul 2017 A1
20170206707 Guay et al. Jul 2017 A1
20170208084 Steelman et al. Jul 2017 A1
20170220685 Yan et al. Aug 2017 A1
20170220964 Datta Ray Aug 2017 A1
20170249710 Guillama et al. Aug 2017 A1
20170269791 Meyerzon et al. Sep 2017 A1
20170270318 Ritchie Sep 2017 A1
20170278004 McElhinney et al. Sep 2017 A1
20170278117 Wallace et al. Sep 2017 A1
20170286719 Krishnamurthy et al. Oct 2017 A1
20170287031 Barday Oct 2017 A1
20170289168 Bar et al. Oct 2017 A1
20170289199 Barday Oct 2017 A1
20170308875 O'Regan et al. Oct 2017 A1
20170316400 Venkatakrishnan et al. Nov 2017 A1
20170330197 DiMaggio et al. Nov 2017 A1
20170353404 Hodge Dec 2017 A1
20180032757 Michael Feb 2018 A1
20180039975 Hefetz Feb 2018 A1
20180041498 Kikuchi Feb 2018 A1
20180046753 Shelton Feb 2018 A1
20180046939 Meron et al. Feb 2018 A1
20180063174 Grill et al. Mar 2018 A1
20180063190 Wright et al. Mar 2018 A1
20180082368 Weinflash et al. Mar 2018 A1
20180083843 Sambandam Mar 2018 A1
20180091476 Jakobsson et al. Mar 2018 A1
20180131574 Jacobs et al. May 2018 A1
20180131658 Bhagwan et al. May 2018 A1
20180165637 Romero et al. Jun 2018 A1
20180182009 Barday et al. Jun 2018 A1
20180198614 Neumann Jul 2018 A1
20180204281 Painter et al. Jul 2018 A1
20180219917 Chiang Aug 2018 A1
20180239500 Allen et al. Aug 2018 A1
20180248914 Sartor Aug 2018 A1
20180285887 Maung Oct 2018 A1
20180301222 Dew, Sr. et al. Oct 2018 A1
20180307859 Lafever et al. Oct 2018 A1
20180336509 Guttmann Nov 2018 A1
20180349583 Turgeman et al. Dec 2018 A1
20180351888 Howard Dec 2018 A1
20180352003 Winn et al. Dec 2018 A1
20180357243 Yoon Dec 2018 A1
20180365720 Goldman et al. Dec 2018 A1
20180374030 Barday et al. Dec 2018 A1
20180375814 Hart Dec 2018 A1
20190005210 Wiederspohn et al. Jan 2019 A1
20190012211 Selvaraj Jan 2019 A1
20190012672 Francesco Jan 2019 A1
20190019184 Lacey et al. Jan 2019 A1
20190050547 Welsh et al. Feb 2019 A1
20190087570 Sloane Mar 2019 A1
20190096020 Barday et al. Mar 2019 A1
20190108353 Sadeh et al. Apr 2019 A1
20190130132 Barbas et al. May 2019 A1
20190132350 Smith et al. May 2019 A1
20190138496 Yamaguchi May 2019 A1
20190139087 Dabbs et al. May 2019 A1
20190148003 Van Hoe May 2019 A1
20190156053 Vogel et al. May 2019 A1
20190156058 Van Dyne et al. May 2019 A1
20190171801 Barday et al. Jun 2019 A1
20190179652 Hesener et al. Jun 2019 A1
20190180051 Barday et al. Jun 2019 A1
20190182294 Rieke et al. Jun 2019 A1
20190188402 Wang et al. Jun 2019 A1
20190266200 Francolla Aug 2019 A1
20190266201 Barday et al. Aug 2019 A1
20190266350 Barday et al. Aug 2019 A1
20190268343 Barday et al. Aug 2019 A1
20190268344 Barday et al. Aug 2019 A1
20190272492 Elledge et al. Sep 2019 A1
20190294818 Barday et al. Sep 2019 A1
20190303509 Greene Oct 2019 A1
20190332802 Barday et al. Oct 2019 A1
20190332807 Lafever et al. Oct 2019 A1
20190333118 Crimmins et al. Oct 2019 A1
20190354709 Brinskelle Nov 2019 A1
20190356684 Sinha et al. Nov 2019 A1
20190362169 Lin et al. Nov 2019 A1
20190362268 Fogarty et al. Nov 2019 A1
20190377901 Balzer et al. Dec 2019 A1
20190378073 Lopez et al. Dec 2019 A1
20190384934 Kim Dec 2019 A1
20190392162 Stern et al. Dec 2019 A1
20190392170 Barday et al. Dec 2019 A1
20190392171 Barday et al. Dec 2019 A1
20200004938 Brannon et al. Jan 2020 A1
20200020454 McGarvey et al. Jan 2020 A1
20200050966 Enuka et al. Feb 2020 A1
20200051117 Mitchell Feb 2020 A1
20200057781 McCormick Feb 2020 A1
20200074471 Adjaoute Mar 2020 A1
20200081865 Farrar et al. Mar 2020 A1
20200082270 Gu et al. Mar 2020 A1
20200090197 Rodriguez et al. Mar 2020 A1
20200092179 Chieu et al. Mar 2020 A1
20200110589 Bequet et al. Apr 2020 A1
20200110904 Shinde et al. Apr 2020 A1
20200117737 Gopalakrishnan et al. Apr 2020 A1
20200137097 Zimmermann et al. Apr 2020 A1
20200143301 Bowers May 2020 A1
20200143797 Manoharan et al. May 2020 A1
20200159952 Dain et al. May 2020 A1
20200159955 Barlik et al. May 2020 A1
20200167653 Manjunath et al. May 2020 A1
20200175424 Kursun Jun 2020 A1
20200183655 Barday et al. Jun 2020 A1
20200186355 Davies Jun 2020 A1
20200193018 Van Dyke Jun 2020 A1
20200193022 Lunsford et al. Jun 2020 A1
20200210558 Barday et al. Jul 2020 A1
20200210620 Haletky Jul 2020 A1
20200211002 Steinberg Jul 2020 A1
20200220901 Barday et al. Jul 2020 A1
20200226156 Borra et al. Jul 2020 A1
20200226196 Brannon et al. Jul 2020 A1
20200242259 Chirravuri et al. Jul 2020 A1
20200242719 Lee Jul 2020 A1
20200250342 Miller et al. Aug 2020 A1
20200252413 Buzbee et al. Aug 2020 A1
20200252817 Brouillette et al. Aug 2020 A1
20200272764 Brannon et al. Aug 2020 A1
20200285755 Kassoumeh et al. Sep 2020 A1
20200293679 Handy Bosma et al. Sep 2020 A1
20200296171 Mocanu et al. Sep 2020 A1
20200302089 Barday et al. Sep 2020 A1
20200310917 Tkachev et al. Oct 2020 A1
20200311310 Barday et al. Oct 2020 A1
20200344243 Brannon et al. Oct 2020 A1
20200356695 Brannon et al. Nov 2020 A1
20200364369 Brannon et al. Nov 2020 A1
20200372178 Barday et al. Nov 2020 A1
20200394327 Childress et al. Dec 2020 A1
20200401380 Jacobs et al. Dec 2020 A1
20200401962 Gottemukkala et al. Dec 2020 A1
20200410117 Barday et al. Dec 2020 A1
20200410131 Barday et al. Dec 2020 A1
20200410132 Brannon et al. Dec 2020 A1
20210012341 Garg et al. Jan 2021 A1
20210056569 Silberman et al. Feb 2021 A1
20210081567 Park et al. Mar 2021 A1
20210099449 Frederick et al. Apr 2021 A1
20210110047 Victor Apr 2021 A1
20210125089 Nickl et al. Apr 2021 A1
20210136065 Liokumovich et al. May 2021 A1
20210152496 Kim et al. May 2021 A1
20210233157 Crutchfield, Jr. Jul 2021 A1
20210243595 Buck et al. Aug 2021 A1
20210248247 Poothokaran et al. Aug 2021 A1
20210256163 Fleming et al. Aug 2021 A1
20210279360 Gimenez Palop et al. Sep 2021 A1
20210297441 Olalere Sep 2021 A1
20210303828 Lafreniere et al. Sep 2021 A1
20210312061 Schroeder et al. Oct 2021 A1
20210326786 Sun et al. Oct 2021 A1
20210328969 Gaddam et al. Oct 2021 A1
20210382949 Yastrebenetsky et al. Dec 2021 A1
20210397735 Samatov et al. Dec 2021 A1
20210400018 Vettaikaran et al. Dec 2021 A1
20210406712 Bhide et al. Dec 2021 A1
20220217045 Blau Jul 2022 A1
Foreign Referenced Citations (15)
Number Date Country
111496802 Aug 2020 CN
112115859 Dec 2020 CN
1394698 Mar 2004 EP
2031540 Mar 2009 EP
20130062500 Jun 2013 KR
2001033430 May 2001 WO
20020067158 Aug 2002 WO
20030050773 Jun 2003 WO
2005008411 Jan 2005 WO
2007002412 Jan 2007 WO
2008134203 Nov 2008 WO
2012174659 Dec 2012 WO
2015116905 Aug 2015 WO
2020146028 Jul 2020 WO
2022006421 Jan 2022 WO
Non-Patent Literature Citations (901)
Entry
Bao et al, “Performance Modelling and Workflow Scheduling of Microservice-Based Applications in Clouds”, IEEE Transactions On Parallel and Distributed Systems, vol. 30, No. 9, Sep. 2019, pp. 2101-2116 (Year: 2019).
Preuveneers et al, “Access Control with Delegated Authorized Policy Evaluation for Data-Driven Microservice Workflows”, Future Internet 2017, MDPI, pp. 1-21 (Year: 2017).
Czeskis et al., “Lightweight Server Support for Browser-based CSRF Protection,” Proceedings of the 22nd International Conference on World Wide Web, 2013, pp. 273-284 (Year: 2013).
Final Office Action, dated Feb. 25, 2022, from corresponding U.S. Appl. No. 17/346,586.
Final Office Action, dated Mar. 21, 2022, from corresponding U.S. Appl. No. 17/373,444.
Final Office Action, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/380,485.
Matte et al, “Do Cookie Banners Respect my Choice?: Measuring Legal Compliance of Banners from IAB Europe's Transparency and Consent Framework,” 2020 IEEE Symposium on Security and Privacy (SP), 2020, pp. 791-809 (Year: 2020).
Notice of Allowance, dated Feb. 24, 2022, from corresponding U.S. Appl. No. 17/234,205.
Notice of Allowance, dated Feb. 24, 2022, from corresponding U.S. Appl. No. 17/549,170.
Notice of Allowance, dated Mar. 16, 2022, from corresponding U.S. Appl. No. 17/486,350.
Notice of Allowance, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 16/872,130.
Notice of Allowance, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/535,098.
Notice of Allowance, dated Mar. 21, 2022, from corresponding U.S. Appl. No. 17/366,754.
Notice of Allowance, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/475,244.
Notice of Allowance, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/504,102.
Notice of Allowance, dated Mar. 28, 2022, from corresponding U.S. Appl. No. 17/499,609.
Notice of Allowance, dated Mar. 4, 2022, from corresponding U.S. Appl. No. 17/409,999.
Office Action, dated Mar. 1, 2022, from corresponding U.S. Appl. No. 17/119,080.
Office Action, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/020,275.
Office Action, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/161,159.
Office Action, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/200,698.
Office Action, dated Mar. 21, 2022, from corresponding U.S. Appl. No. 17/571,871.
Office Action, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/187,329.
Sanchez-Rola et al, “Can I Opt Out Yet?: GDPR and the Global Illusion of Cookie Control,” Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019, pp. 340-351 (Year: 2019).
Final Office Action, dated Apr. 1, 2022, from corresponding U.S. Appl. No. 17/370,650.
Final Office Action, dated Apr. 5, 2022, from corresponding U.S. Appl. No. 17/013,756.
International Search Report, dated Apr. 12, 2022, from corresponding International Application No. PCT/US2022/016735.
International Search Report, dated Feb. 14, 2022, from corresponding International Application No. PCT/US2021/058274.
International Search Report, dated Mar. 18, 2022, from corresponding International Application No. PCT/US2022/013733.
Lewis, James et al, “Microservices,” Mar. 25, 2014 (Mar. 25, 2014),XP055907494, Retrieved from the Internet: https://martinfowler.com/articles/micr oservices.html. [retrieved on Mar. 31, 2022].
Notice of Allowance, dated Apr. 4, 2022, from corresponding U.S. Appl. No. 17/493,332.
Notice of Allowance, dated Apr. 4, 2022, from corresponding U.S. Appl. No. 17/572,298.
Notice of Allowance, dated Mar. 31, 2022, from corresponding U.S. Appl. No. 17/476,209.
Office Action, dated Apr. 8, 2022, from corresponding U.S. Appl. No. 16/938,509.
Restriction Requirement, dated Apr. 12, 2022, from corresponding U.S. Appl. No. 17/584,187.
Written Opinion of the International Searching Authority, dated Apr. 12, 2022, from corresponding International Application No. PCT/US2022/016735.
Written Opinion of the International Searching Authority, dated Feb. 14, 2022, from corresponding International Application No. PCT/US2021/058274.
Written Opinion of the International Searching Authority, dated Mar. 18, 2022, from corresponding International Application No. PCT/US2022/013733.
Ali et al., “Age Estimation from Facial Images Using Biometric Ratios and Wrinkle Analysis,” IEEE, 2015, pp. 1-5 (Year: 2015).
Chang et al., “A Ranking Approach for Human Age Estimation Based on Face Images,” IEEE, 2010, pp. 3396-3399 (Year: 2010).
Edinger et al, “Age and Gender Estimation of Unfiltered Faces,” IEEE, 2014, pp. 2170-2179 (Year: 2014).
Final Office Action, dated Apr. 25, 2022, from corresponding U.S. Appl. No. 17/149,421.
Han et al, “Demographic Estimation from Face Images: Human vs. Machine Performance,” IEEE, 2015, pp. 1148-1161 (Year: 2015).
Huettner, “Digital Risk Management: Protecting Your Privacy, Improving Security, and Preparing for Emergencies,” IEEE, pp. 136-138 (Year: 2006).
Jayasinghe et al, “Matching Facial Images Using Age Related Morphing Changes,” ISSRI, 2009, pp. 2901-2907 (Year: 2009).
Khan et al, “Wrinkles Energy Based Age Estimation Using Discrete Cosine Transform,” IEEE, 2015, pp. 1-4 (Year 2015).
Kristian et al, “Human Facial Age Classification Using Active Shape Module, Geometrical Feature, and Support Vendor Machine on Early Growth Stage,” ISICO, 2015, pp. 1-8 (Year: 2015).
Liu et al, “Overview on Ontology Mapping and Approach,” IEEE, pp. 592-595 (Year: 2011).
Milic et al, “Comparative Analysis of Metadata Models on e-Government Open Data Platforms,” IEEE, pp. 119-130 (Year: 2021).
Notice of Allowance, dated Apr. 12, 2022, from corresponding U.S. Appl. No. 17/479,807.
Notice of Allowance, dated Apr. 14, 2022, from corresponding U.S. Appl. No. 17/572,276.
Notice of Allowance, dated Apr. 20, 2022, from corresponding U.S. Appl. No. 17/573,808.
Notice of Allowance, dated Apr. 27, 2022, from corresponding U.S. Appl. No. 17/573,999.
Notice of Allowance, dated Apr. 28, 2022, from corresponding U.S. Appl. No. 17/670,352.
Office Action, dated Apr. 12, 2022, from corresponding U.S. Appl. No. 17/670,341.
Office Action, dated Apr. 18, 2022, from corresponding U.S. Appl. No. 17/670,349.
Office Action, dated Apr. 25, 2022, from corresponding U.S. Appl. No. 17/588,645.
Office Action, dated Apr. 26, 2022, from corresponding U.S. Appl. No. 17/151,334.
Qu et al, “Metadata Type System: Integrate Presentation, Data Models and Extraction to Enable Exploratory Browsing Interfaces,” ACM, pp. 107-116 (Year: 2014).
Shulz et al, “Generative Data Models for Validation and Evaluation of Visualization Techniques,” ACM, pp. 1-13 (Year: 2016).
Final Office Action, dated Apr. 28, 2022, from corresponding U.S. Appl. No. 16/925,550.
Notice of Allowance, dated Apr. 28, 2022, from corresponding U.S. Appl. No. 17/592,922.
Notice of Allowance, dated Apr. 29, 2022, from corresponding U.S. Appl. No. 17/387,421.
Bansal et al, “Integrating Big Data: A Semantic Extract-Transform-Load Framework,” IEEE, pp. 42-50 (Year: 2015).
Bindschaedler et al, “Privacy Through Fake Yet Semantically Real Traces,” arxiv.org, Cornell University Library, 201 OLIN Library Cornell University Ithaca, NY 14853, May 27, 2015 (Year: 2015).
Castro et al, “Creating Lightweight Ontologies for Dataset Description,” IEEE, pp. 1-4 (Year: 2014).
Ex Parte Quayle Action, dated May 10, 2022, from corresponding U.S. Appl. No. 17/668,714.
Final Office Action, dated May 12, 2022, from corresponding U.S. Appl. No. 17/499,624.
Final Office Action, dated May 16, 2022, from corresponding U.S. Appl. No. 17/480,377.
Final Office Action, dated May 2, 2022, from corresponding U.S. Appl. No. 17/499,595.
Final Office Action, dated May 24, 2022, from corresponding U.S. Appl. No. 17/499,582.
International Search Report, dated May 12, 2022, from corresponding International Application No. PCT/US2022/015929.
International Search Report, dated May 17, 2022, from corresponding International Application No. PCT/US2022/015241.
International Search Report, dated May 19, 2022, from corresponding International Application No. PCT/US2022/015637.
Lasierra et al, “Data Management in Home Scenarios Using an Autonomic Ontology-Based Approach,” IEEE, pp. 94-99 (Year: 2012).
Lenzerini et al, “Ontology-based Data Management,” ACM, pp. 5-6 (Year: 2011).
Niu, et al, “Achieving Data Truthfulness and Privacy Preservation in Data Markets”, IEEE Transactions On Knowledge and Data Engineering, IEEE Service Centre, Los Alamitos, CA, US, vol. 31, No. 1, Jan. 1, 2019, pp. 105-119 (Year 2019).
Notice of Allowance, dated May 11, 2022, from corresponding U.S. Appl. No. 17/395,759.
Notice of Allowance, dated May 18, 2022, from corresponding U.S. Appl. No. 17/670,354.
Notice of Allowance, dated May 25, 2022, from corresponding U.S. Appl. No. 16/872,031.
Notice of Allowance, dated May 6, 2022, from corresponding U.S. Appl. No. 17/666,886.
Office Action, dated May 12, 2022, from corresponding U.S. Appl. No. 17/509,974.
Office Action, dated May 16, 2022, from corresponding U.S. Appl. No. 17/679,750.
Office Action, dated May 9, 2022, from corresponding U.S. Appl. No. 16/840,943.
Thomas et al, “MooM—A Prototype Framework for Management of Ontology Mappings,” IEEE, pp. 548-555 (Year 2011).
Written Opinion of the International Searching Authority, dated May 12, 2022, from corresponding International Application No. PCT/US2022/015929.
Written Opinion of the International Searching Authority, dated May 17, 2022, from corresponding International Application No. PCT/US2022/015241.
Written Opinion of the International Searching Authority, dated May 19, 2022, from corresponding International Application No. PCT/US2022/015637.
Choi et al, “A Survey on Ontology Mapping,” ACM, pp. 34-41 (Year: 2006).
Cui et al, “Domain Ontology Management Environment,” IEEE, pp. 1-9 (Year: 2000).
Falbo et al., “An Ontological Approach to Domain Engineering,” ACM, pp. 351-358 (Year: 2002).
Final Office Action, dated Jun. 10, 2022, from corresponding U.S. Appl. No. 17/161,159.
Final Office Action, dated Jun. 9, 2022, from corresponding U.S. Appl. No. 17/494,220.
International Search Report, dated Jun. 1, 2022, from corresponding International Application No. PCT/US2022/016930.
International Search Report, dated Jun. 22, 2022, from corresponding International Application No. PCT/US2022/019358.
International Search Report, dated Jun. 24, 2022, from corresponding International Application No. PCT/US2022/019882.
Nemec et al., “Assessment of Query Execution Performance Using Selected Business Intelligence Tools and Experimental Agile Oriented Data Modeling Approach,” Sep. 16, 2015, IEEE, pp. 1327-1333. (Year: 2015).
Notice of Allowance, dated Jun. 14, 2022, from corresponding U.S. Appl. No. 17/679,734.
Notice of Allowance, dated Jun. 16, 2022, from corresponding U.S. Appl. No. 17/119,080.
Notice of Allowance, dated Jun. 2, 2022, from corresponding U.S. Appl. No. 17/493,290.
Notice of Allowance, dated Jun. 23, 2022, from corresponding U.S. Appl. No. 17/588,645.
Notice of Allowance, dated Jun. 8, 2022, from corresponding U.S. Appl. No. 17/722,551.
Notice of Allowance, dated May 27, 2022, from corresponding U.S. Appl. No. 17/543,546.
Notice of Allowance, dated May 31, 2022, from corresponding U.S. Appl. No. 17/679,715.
Office Action, dated Jun. 1, 2022, from corresponding U.S. Appl. No. 17/306,496.
Office Action, dated Jun. 14, 2022, from corresponding U.S. Appl. No. 17/346,586.
Office Action, dated Jun. 16, 2022, from corresponding U.S. Appl. No. 17/689,683.
Ozdikis et al, “Tool Support for Transformation from an OWL Ontology to an HLA Object Model,” ACM, pp. 1-6 (Year 2010).
Vukovic et al, “Managing Enterprise IT Systems Using Online Communities,” Jul. 9, 2011, IEEE, pp. 552-559. (Year 2011).
Wong et al, “Ontology Mapping for the Interoperability Problem in Network Management,” IEEE, pp. 2058-2068 (Year: 2005).
Written Opinion of the International Searching Authority, dated Jun. 1, 2022, from corresponding International Application No. PCT/US2022/016930.
Written Opinion of the International Searching Authority, dated Jun. 22, 2022, from corresponding International Application No. PCT/US2022/019358.
Written Opinion of the International Searching Authority, dated Jun. 24, 2022, from corresponding International Application No. PCT/US2022/019882.
Notice of Allowance, dated Oct. 18, 2022, from corresponding U.S. Appl. No. 16/840,943.
Office Action, dated Sep. 16, 2022, from corresponding U.S. Appl. No. 17/306,438.
Final Office Action, dated Apr. 23, 2020, from corresponding U.S. Appl. No. 16/572,347.
Final Office Action, dated Apr. 27, 2021, from corresponding U.S. Appl. No. 17/068,454.
Final Office Action, dated Apr. 7, 2020, from corresponding U.S. Appl. No. 16/595,327.
Final Office Action, dated Aug. 10, 2020, from corresponding U.S. Appl. No. 16/791,589.
Final Office Action, dated Aug. 27, 2021, from corresponding U.S. Appl. No. 17/161,159.
Final Office Action, dated Aug. 28, 2020, from corresponding U.S. Appl. No. 16/410,336.
Final Office Action, dated Aug. 5, 2020, from corresponding U.S. Appl. No. 16/719,071.
Final Office Action, dated Aug. 9, 2021, from corresponding U.S. Appl. No. 17/119,080.
Final Office Action, dated Dec. 10, 2021, from corresponding U.S. Appl. No. 17/187,329.
Final Office Action, dated Dec. 7, 2020, from corresponding U.S. Appl. No. 16/862,956.
Final Office Action, dated Dec. 9, 2019, from corresponding U.S. Appl. No. 16/410,336.
Final Office Action, dated Feb. 19, 2020, from corresponding U.S. Appl. No. 16/404,491.
Final Office Action, dated Feb. 3, 2020, from corresponding U.S. Appl. No. 16/557,392.
Final Office Action, dated Feb. 8, 2021, from corresponding U.S. Appl. No. 16/927,658.
Final Office Action, dated Jan. 17, 2018, from corresponding U.S. Appl. No. 15/619,278.
Final Office Action, dated Jan. 21, 2020, from corresponding U.S. Appl. No. 16/410,762.
Final Office Action, dated Jan. 23, 2018, from corresponding U.S. Appl. No. 15/619,479.
Final Office Action, dated Jan. 23, 2020, from corresponding U.S. Appl. No. 16/505,430.
Final Office Action, dated Jul. 21, 2021, from corresponding U.S. Appl. No. 17/151,334.
Final Office Action, dated Jul. 7, 2021, from corresponding U.S. Appl. No. 17/149,421.
Final Office Action, dated Mar. 26, 2021, from corresponding U.S. Appl. No. 17/020,275.
Final Office Action, dated Mar. 5, 2019, from corresponding U.S. Appl. No. 16/055,961.
Final Office Action, dated Mar. 6, 2020, from corresponding U.S. Appl. No. 16/595,342.
Final Office Action, dated May 14, 2021, from corresponding U.S. Appl. No. 17/013,756.
Final Office Action, dated Nov. 29, 2017, from corresponding U.S. Appl. No. 15/619,237.
Final Office Action, dated Oct. 26, 2021, from corresponding U.S. Appl. No. 17/306,496.
Final Office Action, dated Oct. 28, 2021, from corresponding U.S. Appl. No. 17/234,205.
Final Office Action, dated Oct. 29, 2021, from corresponding U.S. Appl. No. 17/020,275.
Final Office Action, dated Sep. 17, 2021, from corresponding U.S. Appl. No. 17/200,698.
Final Office Action, dated Sep. 21, 2020, from corresponding U.S. Appl. No. 16/808,493.
Final Office Action, dated Sep. 21, 2020, from corresponding U.S. Appl. No. 16/862,944.
Final Office Action, dated Sep. 22, 2020, from corresponding U.S. Appl. No. 16/808,497.
Final Office Action, dated Sep. 23, 2020, from corresponding U.S. Appl. No. 16/862,948.
Final Office Action, dated Sep. 24, 2020, from corresponding U.S. Appl. No. 16/862,952.
Final Office Action, dated Sep. 25, 2019, from corresponding U.S. Appl. No. 16/278,119.
Final Office Action, dated Sep. 28, 2020, from corresponding U.S. Appl. No. 16/565,395.
Final Office Action, dated Sep. 8, 2020, from corresponding U.S. Appl. No. 16/410,866.
Office Action, dated Apr. 1, 2021, from corresponding U.S. Appl. No. 17/119,080.
Office Action, dated Apr. 15, 2021, from corresponding U.S. Appl. No. 17/161,159.
Office Action, dated Apr. 18, 2018, from corresponding U.S. Appl. No. 15/894,819.
Office Action, dated Apr. 2, 2021, from corresponding U.S. Appl. No. 17/151,334.
Office Action, dated Apr. 20, 2020, from corresponding U.S. Appl. No. 16/812,795.
Office Action, dated Apr. 22, 2019, from corresponding U.S. Appl. No. 16/241,710.
Office Action, dated Apr. 22, 2020, from corresponding U.S. Appl. No. 16/811,793.
Office Action, dated Apr. 28, 2020, from corresponding U.S. Appl. No. 16/798,818.
Office Action, dated Apr. 28, 2020, from corresponding U.S. Appl. No. 16/808,500.
Office Action, dated Apr. 28, 2021, from corresponding U.S. Appl. No. 16/808,497.
Office Action, dated Apr. 29, 2020, from corresponding U.S. Appl. No. 16/791,337.
Office Action, dated Apr. 5, 2019, from corresponding U.S. Appl. No. 16/278,119.
Office Action, dated Apr. 7, 2020, from corresponding U.S. Appl. No. 16/788,633.
Office Action, dated Apr. 7, 2020, from corresponding U.S. Appl. No. 16/791,589.
Office Action, dated Aug. 13, 2019, from corresponding U.S. Appl. No. 16/505,430.
Office Action, dated Aug. 13, 2019, from corresponding U.S. Appl. No. 16/512,033.
Office Action, dated Aug. 15, 2019, from corresponding U.S. Appl. No. 16/505,461.
Office Action, dated Aug. 18, 2021, from corresponding U.S. Appl. No. 17/222,725.
Office Action, dated Aug. 19, 2019, from corresponding U.S. Appl. No. 16/278,122.
Office Action, dated Aug. 20, 2020, from corresponding U.S. Appl. No. 16/817,136.
Office Action, dated Aug. 23, 2017, from corresponding U.S. Appl. No. 15/626,052.
Office Action, dated Aug. 24, 2017, from corresponding U.S. Appl. No. 15/169,643.
Office Action, dated Aug. 24, 2017, from corresponding U.S. Appl. No. 15/619,451.
Office Action, dated Aug. 24, 2020, from corresponding U.S. Appl. No. 16/595,327.
Office Action, dated Aug. 27, 2019, from corresponding U.S. Appl. No. 16/410,296.
Office Action, dated Aug. 27, 2021, from corresponding U.S. Appl. No. 17/187,329.
Office Action, dated Aug. 27, 2021, from corresponding U.S. Appl. No. 17/334,948.
Office Action, dated Aug. 29, 2017, from corresponding U.S. Appl. No. 15/619,237.
Office Action, dated Aug. 30, 2017, from corresponding U.S. Appl. No. 15/619,212.
Office Action, dated Aug. 30, 2017, from corresponding U.S. Appl. No. 15/619,382.
Office Action, dated Aug. 30, 2021, from corresponding U.S. Appl. No. 16/938,520.
Office Action, dated Aug. 6, 2019, from corresponding U.S. Appl. No. 16/404,491.
Office Action, dated Aug. 6, 2020, from corresponding U.S. Appl. No. 16/862,956.
Office Action, dated Dec. 11, 2019, from corresponding U.S. Appl. No. 16/578,712.
Office Action, dated Dec. 13, 2021, from corresponding U.S. Appl. No. 17/476,209.
Office Action, dated Dec. 14, 2018, from corresponding U.S. Appl. No. 16/104,393.
Office Action, dated Dec. 15, 2016, from corresponding U.S. Appl. No. 15/256,419.
Office Action, dated Dec. 16, 2019, from corresponding U.S. Appl. No. 16/563,754.
Office Action, dated Dec. 16, 2019, from corresponding U.S. Appl. No. 16/565,265.
Office Action, dated Dec. 16, 2020, from corresponding U.S. Appl. No. 17/020,275.
Office Action, dated Dec. 17, 2021, from corresponding U.S. Appl. No. 17/395,759.
Office Action, dated Dec. 17, 2021, from corresponding U.S. Appl. No. 17/499,582.
Office Action, dated Dec. 18, 2020, from corresponding U.S. Appl. No. 17/030,714.
Office Action, dated Dec. 19, 2019, from corresponding U.S. Appl. No. 16/410,866.
Office Action, dated Dec. 2, 2019, from corresponding U.S. Appl. No. 16/560,963.
Office Action, dated Dec. 2, 2021, from corresponding U.S. Appl. No. 17/504,102.
Office Action, dated Dec. 23, 2019, from corresponding U.S. Appl. No. 16/593,639.
Office Action, dated Dec. 24, 2020, from corresponding U.S. Appl. No. 17/068,454.
Office Action, dated Dec. 27, 2021, from corresponding U.S. Appl. No. 17/493,332.
Office Action, dated Dec. 29, 2021, from corresponding U.S. Appl. No. 17/479,807.
Office Action, dated Dec. 3, 2018, from corresponding U.S. Appl. No. 16/055,998.
Office Action, dated Dec. 30, 2021, from corresponding U.S. Appl. No. 17/149,421.
Office Action, dated Dec. 31, 2018, from corresponding U.S. Appl. No. 16/160,577.
Office Action, dated Dec. 7, 2021, from corresponding U.S. Appl. No. 17/499,609.
Office Action, dated Dec. 8, 2020, from corresponding U.S. Appl. No. 17/013,758.
Office Action, dated Dec. 8, 2020, from corresponding U.S. Appl. No. 17/068,198.
Office Action, dated Feb. 10, 2021, from corresponding U.S. Appl. No. 16/862,944.
Office Action, dated Feb. 10, 2021, from corresponding U.S. Appl. No. 17/106,469.
Office Action, dated Feb. 15, 2019, from corresponding U.S. Appl. No. 16/220,899.
Office Action, dated Feb. 16, 2022, from corresponding U.S. Appl. No. 16/872,031.
Office Action, dated Feb. 17, 2021, from corresponding U.S. Appl. No. 16/862,948.
Office Action, dated Feb. 18, 2021, from corresponding U.S. Appl. No. 16/862,952.
Office Action, dated Feb. 2, 2021, from corresponding U.S. Appl. No. 17/101,915.
Office Action, dated Feb. 26, 2019, from corresponding U.S. Appl. No. 16/228,250.
Office Action, dated Feb. 3, 2021, from corresponding U.S. Appl. No. 17/013,757.
Office Action, dated Feb. 5, 2020, from corresponding U.S. Appl. No. 16/586,202.
Office Action, dated Feb. 6, 2020, from corresponding U.S. Appl. No. 16/707,762.
Office Action, dated Feb. 8, 2021, from corresponding U.S. Appl. No. 17/139,650.
Office Action, dated Feb. 9, 2021, from corresponding U.S. Appl. No. 16/808,493.
Office Action, dated Feb. 9, 2022, from corresponding U.S. Appl. No. 17/543,546.
Office Action, dated Jan. 14, 2022, from corresponding U.S. Appl. No. 17/499,595.
Office Action, dated Jan. 18, 2019, from corresponding U.S. Appl. No. 16/055,984.
Office Action, dated Jan. 21, 2022, from corresponding U.S. Appl. No. 17/499,624.
Office Action, dated Jan. 22, 2021, from corresponding U.S. Appl. No. 17/099,270.
Office Action, dated Jan. 24, 2020, from corresponding U.S. Appl. No. 16/505,426.
Office Action, dated Jan. 24, 2020, from corresponding U.S. Appl. No. 16/700,049.
Office Action, dated Jan. 25, 2022, from corresponding U.S. Appl. No. 17/494,220.
Office Action, dated Jan. 27, 2020, from corresponding U.S. Appl. No. 16/656,895.
Office Action, dated Jan. 28, 2020, from corresponding U.S. Appl. No. 16/712,104.
Office Action, dated Jan. 29, 2021, from corresponding U.S. Appl. No. 17/101,106.
Office Action, dated Jan. 31, 2022, from corresponding U.S. Appl. No. 17/493,290.
Office Action, dated Jan. 4, 2019, from corresponding U.S. Appl. No. 16/159,566.
Office Action, dated Jan. 4, 2019, from corresponding U.S. Appl. No. 16/159,628.
Office Action, dated Jan. 4, 2021, from corresponding U.S. Appl. No. 17/013,756.
Office Action, dated Jan. 4, 2022, from corresponding U.S. Appl. No. 17/480,377.
Office Action, dated Jan. 7, 2020, from corresponding U.S. Appl. No. 16/572,182.
Office Action, dated Jan. 7, 2022, from corresponding U.S. Appl. No. 17/387,421.
Office Action, dated Jul. 13, 2021, from corresponding U.S. Appl. No. 17/306,496.
Office Action, dated Jul. 15, 2021, from corresponding U.S. Appl. No. 17/020,275.
Office Action, dated Jul. 18, 2019, from corresponding U.S. Appl. No. 16/410,762.
Office Action, dated Jul. 19, 2021, from corresponding U.S. Appl. No. 17/316,179.
Office Action, dated Jul. 21, 2017, from corresponding U.S. Appl. No. 15/256,430.
Office Action, dated Jul. 21, 2021, from corresponding U.S. Appl. No. 16/901,654.
Office Action, dated Jul. 23, 2019, from corresponding U.S. Appl. No. 16/436,616.
Office Action, dated Jul. 24, 2020, from corresponding U.S. Appl. No. 16/404,491.
Office Action, dated Jul. 27, 2020, from corresponding U.S. Appl. No. 16/595,342.
Office Action, dated Jun. 1, 2020, from corresponding U.S. Appl. No. 16/862,952.
Office Action, dated Jun. 24, 2019, from corresponding U.S. Appl. No. 16/410,336.
Office Action, dated Jun. 24, 2021, from corresponding U.S. Appl. No. 17/234,205.
Office Action, dated Jun. 27, 2019, from corresponding U.S. Appl. No. 16/404,405.
Office Action, dated Jun. 7, 2021, from corresponding U.S. Appl. No. 17/200,698.
Office Action, dated Jun. 9, 2021, from corresponding U.S. Appl. No. 17/222,523.
Office Action, dated Mar. 11, 2019, from corresponding U.S. Appl. No. 16/220,978.
Office Action, dated Mar. 12, 2019, from corresponding U.S. Appl. No. 16/221,153.
Office Action, dated Mar. 15, 2021, from corresponding U.S. Appl. No. 17/149,421.
Office Action, dated Mar. 16, 2020, from corresponding U.S. Appl. No. 16/719,488.
Office Action, dated Mar. 17, 2020, from corresponding U.S. Appl. No. 16/565,395.
Office Action, dated Mar. 17, 2020, from corresponding U.S. Appl. No. 16/719,071.
Office Action, dated Mar. 20, 2020, from corresponding U.S. Appl. No. 16/778,709.
Office Action, dated Mar. 23, 2020, from corresponding U.S. Appl. No. 16/671,444.
Office Action, dated Mar. 25, 2019, from corresponding U.S. Appl. No. 16/278,121.
Office Action, dated Mar. 25, 2020, from corresponding U.S. Appl. No. 16/701,043.
Office Action, dated Mar. 25, 2020, from corresponding U.S. Appl. No. 16/791,006.
Office Action, dated Mar. 27, 2019, from corresponding U.S. Appl. No. 16/278,120.
Office Action, dated Mar. 30, 2018, from corresponding U.S. Appl. No. 15/894,890.
Office Action, dated Mar. 30, 2018, from corresponding U.S. Appl. No. 15/896,790.
Office Action, dated Mar. 30, 2021, from corresponding U.S. Appl. No. 17/151,399.
Office Action, dated Mar. 4, 2019, from corresponding U.S. Appl. No. 16/237,083.
Office Action, dated May 14, 2020, from corresponding U.S. Appl. No. 16/808,497.
Office Action, dated May 14, 2020, from corresponding U.S. Appl. No. 16/808,503.
Office Action, dated May 15, 2020, from corresponding U.S. Appl. No. 16/808,493.
Office Action, dated May 16, 2018, from corresponding U.S. Appl. No. 15/882,989.
Office Action, dated May 17, 2019, from corresponding U.S. Appl. No. 16/277,539.
Office Action, dated May 18, 2021, from corresponding U.S. Appl. No. 17/196,570.
Office Action, dated May 2, 2018, from corresponding U.S. Appl. No. 15/894,809.
Office Action, dated May 2, 2019, from corresponding U.S. Appl. No. 16/104,628.
Office Action, dated May 29, 2020, from corresponding U.S. Appl. No. 16/862,944.
Office Action, dated May 29, 2020, from corresponding U.S. Appl. No. 16/862,948.
Office Action, dated May 29, 2020, from corresponding U.S. Appl. No. 16/863,226.
Office Action, dated May 5, 2020, from corresponding U.S. Appl. No. 16/410,336.
Office Action, dated Nov. 1, 2017, from corresponding U.S. Appl. No. 15/169,658.
Office Action, dated Nov. 10, 2021, from corresponding U.S. Appl. No. 17/380,485.
Office Action, dated Nov. 10, 2021, from corresponding U.S. Appl. No. 17/409,999.
Office Action, dated Nov. 12, 2020, from corresponding U.S. Appl. No. 17/034,355.
Office Action, dated Nov. 12, 2020, from corresponding U.S. Appl. No. 17/034,772.
Office Action, dated Nov. 12, 2021, from corresponding U.S. Appl. No. 17/346,586.
Office Action, dated Nov. 12, 2021, from corresponding U.S. Appl. No. 17/373,444.
Office Action, dated Nov. 15, 2018, from corresponding U.S. Appl. No. 16/059,911.
Office Action, dated Nov. 15, 2019, from corresponding U.S. Appl. No. 16/552,758.
Office Action, dated Nov. 16, 2021, from corresponding U.S. Appl. No. 17/370,650.
Office Action, dated Nov. 16, 2021, from corresponding U.S. Appl. No. 17/486,350.
Office Action, dated Nov. 18, 2019, from corresponding U.S. Appl. No. 16/560,885.
Office Action, dated Nov. 18, 2019, from corresponding U.S. Appl. No. 16/560,889.
Office Action, dated Nov. 18, 2019, from corresponding U.S. Appl. No. 16/572,347.
Office Action, dated Nov. 19, 2019, from corresponding U.S. Appl. No. 16/595,342.
Office Action, dated Nov. 20, 2019, from corresponding U.S. Appl. No. 16/595,327.
Office Action, dated Nov. 23, 2018, from corresponding U.S. Appl. No. 16/042,673.
Office Action, dated Nov. 23, 2021, from corresponding U.S. Appl. No. 17/013,756.
Office Action, dated Nov. 24, 2020, from corresponding U.S. Appl. No. 16/925,628.
Office Action, dated Nov. 26, 2021, from corresponding U.S. Appl. No. 16/925,550.
Office Action, dated Nov. 4, 2021, from corresponding U.S. Appl. No. 17/491,906.
Office Action, dated Nov. 8, 2021, from corresponding U.S. Appl. No. 16/872,130.
Office Action, dated Oct. 10, 2018, from corresponding U.S. Appl. No. 16/041,563.
Office Action, dated Oct. 10, 2018, from corresponding U.S. Appl. No. 16/055,083.
Office Action, dated Oct. 10, 2018, from corresponding U.S. Appl. No. 16/055,944.
Office Action, dated Oct. 12, 2021, from corresponding U.S. Appl. No. 17/346,509.
Office Action, dated Oct. 14, 2020, from corresponding U.S. Appl. No. 16/927,658.
Office Action, dated Oct. 15, 2018, from corresponding U.S. Appl. No. 16/054,780.
Office Action, dated Oct. 15, 2021, from corresponding U.S. Appl. No. 16/908,081.
Office Action, dated Oct. 16, 2019, from corresponding U.S. Appl. No. 16/557,392.
Office Action, dated Oct. 16, 2020, from corresponding U.S. Appl. No. 16/808,489.
Office Action, dated Oct. 23, 2018, from corresponding U.S. Appl. No. 16/055,961.
Office Action, dated Oct. 26, 2018, from corresponding U.S. Appl. No. 16/041,468.
Office Action, dated Oct. 8, 2019, from corresponding U.S. Appl. No. 16/552,765.
Office Action, dated Sep. 1, 2017, from corresponding U.S. Appl. No. 15/619,459.
Office Action, dated Sep. 11, 2017, from corresponding U.S. Appl. No. 15/619,375.
Office Action, dated Sep. 11, 2017, from corresponding U.S. Appl. No. 15/619,478.
Office Action, dated Sep. 15, 2021, from corresponding U.S. Appl. No. 16/623,157.
Office Action, dated Sep. 16, 2019, from corresponding U.S. Appl. No. 16/277,715.
Office Action, dated Sep. 19, 2017, from corresponding U.S. Appl. No. 15/671,073.
Office Action, dated Sep. 22, 2017, from corresponding U.S. Appl. No. 15/619,278.
Office Action, dated Sep. 24, 2021, from corresponding U.S. Appl. No. 17/342,153.
Office Action, dated Sep. 4, 2020, from corresponding U.S. Appl. No. 16/989,086.
Office Action, dated Sep. 5, 2017, from corresponding U.S. Appl. No. 15/619,469.
Office Action, dated Sep. 6, 2017, from corresponding U.S. Appl. No. 15/619,479.
Office Action, dated Sep. 7, 2017, from corresponding U.S. Appl. No. 15/633,703.
Office Action, dated Sep. 8, 2017, from corresponding U.S. Appl. No. 15/619,251.
Notice of Allowance, dated Apr. 12, 2017, from corresponding U.S. Appl. No. 15/256,419.
Notice of Allowance, dated Apr. 17, 2020, from corresponding U.S. Appl. No. 16/593,639.
Notice of Allowance, dated Apr. 19, 2021, from corresponding U.S. Appl. No. 17/164,029.
Notice of Allowance, dated Apr. 2, 2019, from corresponding U.S. Appl. No. 16/160,577.
Notice of Allowance, dated Apr. 2, 2021, from corresponding U.S. Appl. No. 17/162,006.
Notice of Allowance, dated Apr. 22, 2021, from corresponding U.S. Appl. No. 17/163,701.
Notice of Allowance, dated Apr. 25, 2018, from corresponding U.S. Appl. No. 15/883,041.
Notice of Allowance, dated Apr. 28, 2021, from corresponding U.S. Appl. No. 17/135,445.
Notice of Allowance, dated Apr. 28, 2021, from corresponding U.S. Appl. No. 17/181,828.
Notice of Allowance, dated Apr. 29, 2020, from corresponding U.S. Appl. No. 16/700,049.
Notice of Allowance, dated Apr. 30, 2020, from corresponding U.S. Appl. No. 16/565,265.
Notice of Allowance, dated Apr. 30, 2020, from corresponding U.S. Appl. No. 16/820,346.
Notice of Allowance, dated Apr. 30, 2021, from corresponding U.S. Appl. No. 16/410,762.
Notice of Allowance, dated Apr. 8, 2019, from corresponding U.S. Appl. No. 16/228,250.
Notice of Allowance, dated Apr. 8, 2020, from corresponding U.S. Appl. No. 16/791,348.
Notice of Allowance, dated Apr. 9, 2020, from corresponding U.S. Appl. No. 16/791,075.
Notice of Allowance, dated Aug. 10, 2020, from corresponding U.S. Appl. No. 16/671,444.
Notice of Allowance, dated Aug. 10, 2020, from corresponding U.S. Appl. No. 16/788,633.
Notice of Allowance, dated Aug. 12, 2020, from corresponding U.S. Appl. No. 16/719,488.
Notice of Allowance, dated Aug. 12, 2021, from corresponding U.S. Appl. No. 16/881,832.
Notice of Allowance, dated Aug. 14, 2018, from corresponding U.S. Appl. No. 15/989,416.
Notice of Allowance, dated Aug. 18, 2017, from corresponding U.S. Appl. No. 15/619,455.
Notice of Allowance, dated Aug. 20, 2019, from corresponding U.S. Appl. No. 16/241,710.
Notice of Allowance, dated Aug. 24, 2018, from corresponding U.S. Appl. No. 15/619,479.
Notice of Allowance, dated Aug. 26, 2019, from corresponding U.S. Appl. No. 16/443,374.
Notice of Allowance, dated Aug. 26, 2020, from corresponding U.S. Appl. No. 16/808,503.
Notice of Allowance, dated Aug. 28, 2019, from corresponding U.S. Appl. No. 16/278,120.
Notice of Allowance, dated Aug. 30, 2018, from corresponding U.S. Appl. No. 15/996,208.
Notice of Allowance, dated Aug. 31, 2021, from corresponding U.S. Appl. No. 17/326,901.
Notice of Allowance, dated Aug. 4, 2021, from corresponding U.S. Appl. No. 16/895,278.
Notice of Allowance, dated Aug. 7, 2020, from corresponding U.S. Appl. No. 16/901,973.
Notice of Allowance, dated Aug. 9, 2018, from corresponding U.S. Appl. No. 15/882,989.
Notice of Allowance, dated Aug. 9, 2021, from corresponding U.S. Appl. No. 16/881,699.
Notice of Allowance, dated Dec. 10, 2018, from corresponding U.S. Appl. No. 16/105,602.
Notice of Allowance, dated Dec. 11, 2019, from corresponding U.S. Appl. No. 16/278,122.
Notice of Allowance, dated Dec. 11, 2019, from corresponding U.S. Appl. No. 16/593,634.
Notice of Allowance, dated Dec. 12, 2017, from corresponding U.S. Appl. No. 15/169,643.
Notice of Allowance, dated Dec. 12, 2017, from corresponding U.S. Appl. No. 15/619,212.
Notice of Allowance, dated Dec. 12, 2017, from corresponding U.S. Appl. No. 15/619,382.
Notice of Allowance, dated Dec. 13, 2019, from corresponding U.S. Appl. No. 16/512,033.
Notice of Allowance, dated Dec. 13, 2021, from corresponding U.S. Appl. No. 16/908,081.
Notice of Allowance, dated Dec. 13, 2021, from corresponding U.S. Appl. No. 17/347,853.
Notice of Allowance, dated Dec. 15, 2020, from corresponding U.S. Appl. No. 16/989,086.
Notice of Allowance, dated Dec. 16, 2019, from corresponding U.S. Appl. No. 16/505,461.
Notice of Allowance, dated Dec. 17, 2020, from corresponding U.S. Appl. No. 17/034,772.
Notice of Allowance, dated Dec. 18, 2019, from corresponding U.S. Appl. No. 16/659,437.
Notice of Allowance, dated Dec. 2, 2021, from corresponding U.S. Appl. No. 16/901,654.
Notice of Allowance, dated Dec. 23, 2019, from corresponding U.S. Appl. No. 16/656,835.
Notice of Allowance, dated Dec. 23, 2020, from corresponding U.S. Appl. No. 17/068,557.
Notice of Allowance, dated Dec. 3, 2019, from corresponding U.S. Appl. No. 16/563,749.
Notice of Allowance, dated Dec. 30, 2021, from corresponding U.S. Appl. No. 16/938,520.
Notice of Allowance, dated Dec. 31, 2018, from corresponding U.S. Appl. No. 16/159,634.
Notice of Allowance, dated Dec. 31, 2019, from corresponding U.S. Appl. No. 16/404,399.
Notice of Allowance, dated Dec. 4, 2019, from corresponding U.S. Appl. No. 16/594,670.
Notice of Allowance, dated Dec. 5, 2017, from corresponding U.S. Appl. No. 15/633,703.
Notice of Allowance, dated Dec. 6, 2017, from corresponding U.S. Appl. No. 15/619,451.
Notice of Allowance, dated Dec. 6, 2017, from corresponding U.S. Appl. No. 15/619,459.
Notice of Allowance, dated Dec. 7, 2020, from corresponding U.S. Appl. No. 16/817,136.
Notice of Allowance, dated Dec. 8, 2021, from corresponding U.S. Appl. No. 17/397,472.
Notice of Allowance, dated Dec. 9, 2019, from corresponding U.S. Appl. No. 16/565,261.
Notice of Allowance, dated Dec. 9, 2020, from corresponding U.S. Appl. No. 16/404,491.
Notice of Allowance, dated Feb. 1, 2022, from corresponding U.S. Appl. No. 17/346,509.
Notice of Allowance, dated Feb. 10, 2020, from corresponding U.S. Appl. No. 16/552,765.
Notice of Allowance, dated Feb. 11, 2021, from corresponding U.S. Appl. No. 17/086,732.
Notice of Allowance, dated Feb. 12, 2020, from corresponding U.S. Appl. No. 16/572,182.
Notice of Allowance, dated Feb. 13, 2019, from corresponding U.S. Appl. No. 16/041,563.
Notice of Allowance, dated Feb. 14, 2019, from corresponding U.S. Appl. No. 16/226,272.
Notice of Allowance, dated Feb. 14, 2022, from corresponding U.S. Appl. No. 16/623,157.
Notice of Allowance, dated Feb. 19, 2019, from corresponding U.S. Appl. No. 16/159,632.
Notice of Allowance, dated Feb. 19, 2021, from corresponding U.S. Appl. No. 16/832,451.
Notice of Allowance, dated Feb. 22, 2022, from corresponding U.S. Appl. No. 17/535,065.
Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/034,355.
Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/068,198.
Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/101,106.
Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/101,253.
Notice of Allowance, dated Feb. 25, 2020, from corresponding U.S. Appl. No. 16/714,355.
Notice of Allowance, dated Feb. 25, 2021, from corresponding U.S. Appl. No. 17/106,469.
Notice of Allowance, dated Feb. 26, 2021, from corresponding U.S. Appl. No. 17/139,650.
Notice of Allowance, dated Feb. 27, 2019, from corresponding U.S. Appl. No. 16/041,468.
Notice of Allowance, dated Feb. 27, 2019, from corresponding U.S. Appl. No. 16/226,290.
Notice of Allowance, dated Feb. 3, 2021, from corresponding U.S. Appl. No. 16/827,039.
Notice of Allowance, dated Feb. 3, 2021, from corresponding U.S. Appl. No. 17/068,558.
Notice of Allowance, dated Feb. 4, 2022, from corresponding U.S. Appl. No. 17/520,272.
Notice of Allowance, dated Feb. 8, 2022, from corresponding U.S. Appl. No. 17/342,153.
Notice of Allowance, dated Jan. 1, 2021, from corresponding U.S. Appl. No. 17/026,727.
Notice of Allowance, dated Jan. 11, 2022, from corresponding U.S. Appl. No. 17/371,350.
Notice of Allowance, dated Jan. 12, 2022, from corresponding U.S. Appl. No. 17/334,948.
Notice of Allowance, dated Jan. 12, 2022, from corresponding U.S. Appl. No. 17/463,775.
Notice of Allowance, dated Jan. 14, 2020, from corresponding U.S. Appl. No. 16/277,715.
Notice of Allowance, dated Jan. 15, 2021, from corresponding U.S. Appl. No. 17/030,714.
Notice of Allowance, dated Jan. 18, 2018, from corresponding U.S. Appl. No. 15/619,478.
Notice of Allowance, dated Jan. 18, 2019 from corresponding U.S. Appl. No. 16/159,635.
Notice of Allowance, dated Jan. 2, 2020, from corresponding U.S. Appl. No. 16/410,296.
Notice of Allowance, dated Jan. 23, 2018, from corresponding U.S. Appl. No. 15/619,251.
Notice of Allowance, dated Jan. 24, 2022, from corresponding U.S. Appl. No. 17/340,699.
Notice of Allowance, dated Jan. 25, 2021, from corresponding U.S. Appl. No. 16/410,336.
Notice of Allowance, dated Jan. 26, 2018, from corresponding U.S. Appl. No. 15/619,469.
Notice of Allowance, dated Jan. 26, 2022, from corresponding U.S. Appl. No. 17/491,906.
Notice of Allowance, dated Jan. 29, 2020, from corresponding U.S. Appl. No. 16/278,119.
Notice of Allowance, dated Jan. 31, 2022, from corresponding U.S. Appl. No. 17/472,948.
Notice of Allowance, dated Jan. 5, 2022, from corresponding U.S. Appl. No. 17/475,241.
Notice of Allowance, dated Jan. 6, 2021, from corresponding U.S. Appl. No. 16/595,327.
Notice of Allowance, dated Jan. 6, 2022, from corresponding U.S. Appl. No. 17/407,765.
Notice of Allowance, dated Jan. 7, 2022, from corresponding U.S. Appl. No. 17/222,725.
Notice of Allowance, dated Jan. 8, 2020, from corresponding U.S. Appl. No. 16/600,879.
Notice of Allowance, dated Jul. 10, 2019, from corresponding U.S. Appl. No. 16/237,083.
Notice of Allowance, dated Jul. 10, 2019, from corresponding U.S. Appl. No. 16/403,358.
Notice of Allowance, dated Jul. 12, 2019, from corresponding U.S. Appl. No. 16/278,121.
Notice of Allowance, dated Jul. 14, 2020, from corresponding U.S. Appl. No. 16/701,043.
Notice of Allowance, dated Jul. 15, 2020, from corresponding U.S. Appl. No. 16/791,006.
Notice of Allowance, dated Jul. 16, 2020, from corresponding U.S. Appl. No. 16/901,979.
Notice of Allowance, dated Jul. 17, 2019, from corresponding U.S. Appl. No. 16/055,961.
Notice of Allowance, dated Jul. 17, 2020, from corresponding U.S. Appl. No. 16/778,709.
Notice of Allowance, dated Jul. 19, 2021, from corresponding U.S. Appl. No. 17/306,252.
Notice of Allowance, dated Jul. 21, 2020, from corresponding U.S. Appl. No. 16/557,392.
Notice of Allowance, dated Jul. 23, 2019, from corresponding U.S. Appl. No. 16/220,978.
Notice of Allowance, dated Jul. 26, 2019, from corresponding U.S. Appl. No. 16/409,673.
Notice of Allowance, dated Jul. 26, 2021, from corresponding U.S. Appl. No. 17/151,399.
Notice of Allowance, dated Jul. 26, 2021, from corresponding U.S. Appl. No. 17/207,316.
Notice of Allowance, dated Jul. 31, 2019, from corresponding U.S. Appl. No. 16/221,153.
Notice of Allowance, dated Jul. 8, 2021, from corresponding U.S. Appl. No. 17/201,040.
Notice of Allowance, dated Jun. 1, 2020, from corresponding U.S. Appl. No. 16/813,321.
Notice of Allowance, dated Jun. 11, 2021, from corresponding U.S. Appl. No. 16/862,948.
Notice of Allowance, dated Jun. 11, 2021, from corresponding U.S. Appl. No. 16/862,952.
Notice of Allowance, dated Jun. 11, 2021, from corresponding U.S. Appl. No. 17/216,436.
Notice of Allowance, dated Jun. 12, 2019, from corresponding U.S. Appl. No. 16/278,123.
Notice of Allowance, dated Jun. 12, 2019, from corresponding U.S. Appl. No. 16/363,454.
Notice of Allowance, dated Jun. 16, 2020, from corresponding U.S. Appl. No. 16/798,818.
Notice of Allowance, dated Jun. 17, 2020, from corresponding U.S. Appl. No. 16/656,895.
Notice of Allowance, dated Jun. 18, 2019, from corresponding U.S. Appl. No. 16/410,566.
Notice of Allowance, dated Jun. 19, 2018, from corresponding U.S. Appl. No. 15/894,890.
Notice of Allowance, dated Jun. 19, 2019, from corresponding U.S. Appl. No. 16/042,673.
Notice of Allowance, dated Jun. 19, 2019, from corresponding U.S. Appl. No. 16/055,984.
Notice of Allowance, dated Jun. 2, 2021, from corresponding U.S. Appl. No. 17/198,581.
Notice of Allowance, dated Jun. 21, 2019, from corresponding U.S. Appl. No. 16/404,439.
Notice of Allowance, dated Jun. 22, 2020, from corresponding U.S. Appl. No. 16/791,337.
Notice of Allowance, dated Jun. 27, 2018, from corresponding U.S. Appl. No. 15/882,989.
Notice of Allowance, dated Jun. 4, 2019, from corresponding U.S. Appl. No. 16/159,566.
Notice of Allowance, dated Jun. 5, 2019, from corresponding U.S. Appl. No. 16/220,899.
Notice of Allowance, dated Jun. 5, 2019, from corresponding U.S. Appl. No. 16/357,260.
Notice of Allowance, dated Jun. 6, 2018, from corresponding U.S. Appl. No. 15/875,570.
Notice of Allowance, dated Jun. 6, 2019, from corresponding U.S. Appl. No. 16/159,628.
Notice of Allowance, dated Jun. 7, 2021, from corresponding U.S. Appl. No. 17/099,270.
Notice of Allowance, dated Jun. 8, 2020, from corresponding U.S. Appl. No. 16/712,104.
Notice of Allowance, dated Mar. 1, 2018, from corresponding U.S. Appl. No. 15/853,674.
Notice of Allowance, dated Mar. 1, 2019, from corresponding U.S. Appl. No. 16/059,911.
Notice of Allowance, dated Mar. 10, 2021, from corresponding U.S. Appl. No. 16/925,628.
Notice of Allowance, dated Mar. 10, 2021, from corresponding U.S. Appl. No. 17/128,666.
Notice of Allowance, dated Mar. 13, 2019, from corresponding U.S. Appl. No. 16/055,083.
Notice of Allowance, dated Mar. 14, 2019, from corresponding U.S. Appl. No. 16/055,944.
Notice of Allowance, dated Mar. 16, 2020, from corresponding U.S. Appl. No. 16/778,704.
Notice of Allowance, dated Mar. 16, 2021, from corresponding U.S. Appl. No. 17/149,380.
Notice of Allowance, dated Mar. 17, 2020, from corresponding U.S. Appl. No. 16/560,885.
Notice of Allowance, dated Mar. 18, 2020, from corresponding U.S. Appl. No. 16/560,963.
Notice of Allowance, dated Mar. 19, 2021, from corresponding U.S. Appl. No. 17/013,757.
Notice of Allowance, dated Mar. 2, 2018, from corresponding U.S. Appl. No. 15/858,802.
Notice of Allowance, dated Mar. 24, 2020, from corresponding U.S. Appl. No. 16/552,758.
Notice of Allowance, dated Mar. 25, 2019, from corresponding U.S. Appl. No. 16/054,780.
Notice of Allowance, dated Mar. 26, 2020, from corresponding U.S. Appl. No. 16/560,889.
Notice of Allowance, dated Mar. 26, 2020, from corresponding U.S. Appl. No. 16/578,712.
Notice of Allowance, dated Mar. 27, 2019, from corresponding U.S. Appl. No. 16/226,280.
Notice of Allowance, dated Mar. 29, 2019, from corresponding U.S. Appl. No. 16/055,998.
Notice of Allowance, dated Mar. 31, 2020, from corresponding U.S. Appl. No. 16/563,744.
Notice of Allowance, dated Mar. 31, 2021, from corresponding U.S. Appl. No. 17/013,758.
Notice of Allowance, dated Mar. 31, 2021, from corresponding U.S. Appl. No. 17/162,205.
Notice of Allowance, dated May 1, 2020, from corresponding U.S. Appl. No. 16/586,202.
Notice of Allowance, dated May 11, 2020, from corresponding U.S. Appl. No. 16/786,196.
Notice of Allowance, dated May 13, 2021, from corresponding U.S. Appl. No. 17/101,915.
Notice of Allowance, dated May 19, 2020, from corresponding U.S. Appl. No. 16/505,430.
Notice of Allowance, dated May 19, 2020, from corresponding U.S. Appl. No. 16/808,496.
Notice of Allowance, dated May 20, 2020, from corresponding U.S. Appl. No. 16/707,762.
Notice of Allowance, dated May 21, 2018, from corresponding U.S. Appl. No. 15/896,790.
Notice of Allowance, dated May 26, 2021, from corresponding U.S. Appl. No. 16/808,493.
Notice of Allowance, dated May 26, 2021, from corresponding U.S. Appl. No. 16/865,874.
Notice of Allowance, dated May 26, 2021, from corresponding U.S. Appl. No. 17/199,514.
Notice of Allowance, dated May 27, 2020, from corresponding U.S. Appl. No. 16/820,208.
Notice of Allowance, dated May 27, 2021, from corresponding U.S. Appl. No. 16/927,658.
Notice of Allowance, dated May 27, 2021, from corresponding U.S. Appl. No. 17/198,757.
Notice of Allowance, dated May 28, 2019, from corresponding U.S. Appl. No. 16/277,568.
Notice of Allowance, dated May 28, 2020, from corresponding U.S. Appl. No. 16/799,279.
Notice of Allowance, dated May 28, 2021, from corresponding U.S. Appl. No. 16/862,944.
Notice of Allowance, dated May 5, 2017, from corresponding U.S. Appl. No. 15/254,901.
Notice of Allowance, dated May 5, 2020, from corresponding U.S. Appl. No. 16/563,754.
Notice of Allowance, dated May 7, 2020, from corresponding U.S. Appl. No. 16/505,426.
Notice of Allowance, dated May 7, 2021, from corresponding U.S. Appl. No. 17/194,662.
Notice of Allowance, dated Nov. 14, 2019, from corresponding U.S. Appl. No. 16/436,616.
Notice of Allowance, dated Nov. 16, 2021, from corresponding U.S. Appl. No. 17/491,871.
Notice of Allowance, dated Nov. 2, 2018, from corresponding U.S. Appl. No. 16/054,762.
Notice of Allowance, dated Nov. 22, 2021, from corresponding U.S. Appl. No. 17/383,889.
Notice of Allowance, dated Nov. 23, 2020, from corresponding U.S. Appl. No. 16/791,589.
Notice of Allowance, dated Nov. 24, 2020, from corresponding U.S. Appl. No. 17/027,019.
Notice of Allowance, dated Nov. 25, 2020, from corresponding U.S. Appl. No. 17/019,771.
Notice of Allowance, dated Nov. 26, 2019, from corresponding U.S. Appl. No. 16/563,735.
Notice of Allowance, dated Nov. 27, 2019, from corresponding U.S. Appl. No. 16/570,712.
Notice of Allowance, dated Nov. 27, 2019, from corresponding U.S. Appl. No. 16/577,634.
Notice of Allowance, dated Nov. 3, 2020, from corresponding U.S. Appl. No. 16/719,071.
Notice of Allowance, dated Nov. 5, 2019, from corresponding U.S. Appl. No. 16/560,965.
Notice of Allowance, dated Nov. 7, 2017, from corresponding U.S. Appl. No. 15/671,073.
Notice of Allowance, dated Nov. 8, 2018, from corresponding U.S. Appl. No. 16/042,642.
Notice of Allowance, dated Nov. 9, 2020, from corresponding U.S. Appl. No. 16/595,342.
Notice of Allowance, dated Oct. 1, 2021, from corresponding U.S. Appl. No. 17/340,395.
Notice of Allowance, dated Oct. 10, 2019, from corresponding U.S. Appl. No. 16/277,539.
Notice of Allowance, dated Oct. 17, 2018, from corresponding U.S. Appl. No. 15/896,790.
Notice of Allowance, dated Oct. 17, 2018, from corresponding U.S. Appl. No. 16/054,672.
Notice of Allowance, dated Oct. 17, 2019, from corresponding U.S. Appl. No. 16/563,741.
Notice of Allowance, dated Oct. 21, 2019, from corresponding U.S. Appl. No. 16/404,405.
Notice of Allowance, dated Oct. 21, 2020, from corresponding U.S. Appl. No. 16/834,812.
Notice of Allowance, dated Oct. 22, 2021, from corresponding U.S. Appl. No. 17/346,847.
Notice of Allowance, dated Oct. 3, 2019, from corresponding U.S. Appl. No. 16/511,700.
Notice of Allowance, dated Sep. 1, 2021, from corresponding U.S. Appl. No. 17/196,570.
Notice of Allowance, dated Sep. 1, 2021, from corresponding U.S. Appl. No. 17/222,556.
Notice of Allowance, dated Sep. 12, 2019, from corresponding U.S. Appl. No. 16/512,011.
Notice of Allowance, dated Sep. 13, 2018, from corresponding U.S. Appl. No. 15/894,809.
Notice of Allowance, dated Sep. 13, 2018, from corresponding U.S. Appl. No. 15/894,890.
Notice of Allowance, dated Sep. 14, 2021, from corresponding U.S. Appl. No. 16/808,497.
Notice of Allowance, dated Sep. 16, 2020, from corresponding U.S. Appl. No. 16/915,097.
Notice of Allowance, dated Sep. 17, 2020, from corresponding U.S. Appl. No. 16/863,226.
Notice of Allowance, dated Sep. 18, 2018, from corresponding U.S. Appl. No. 15/,894,819.
Notice of Allowance, dated Sep. 18, 2018, from corresponding U.S. Appl. No. 16/041,545.
Notice of Allowance, dated Sep. 18, 2020, from corresponding U.S. Appl. No. 16/812,795.
Notice of Allowance, dated Sep. 23, 2020, from corresponding U.S. Appl. No. 16/811,793.
Notice of Allowance, dated Sep. 23, 2021, from corresponding U.S. Appl. No. 17/068,454.
Notice of Allowance, dated Sep. 24, 2021, from corresponding U.S. Appl. No. 17/334,939.
Notice of Allowance, dated Sep. 25, 2020, from corresponding U.S. Appl. No. 16/983,536.
Notice of Allowance, dated Sep. 27, 2017, from corresponding U.S. Appl. No. 15/626,052.
Notice of Allowance, dated Sep. 27, 2021, from corresponding U.S. Appl. No. 17/222,523.
Notice of Allowance, dated Sep. 28, 2018, from corresponding U.S. Appl. No. 16/041,520.
Notice of Allowance, dated Sep. 29, 2021, from corresponding U.S. Appl. No. 17/316,179.
Notice of Allowance, dated Sep. 4, 2018, from corresponding U.S. Appl. No. 15/883,041.
Notice of Allowance, dated Sep. 4, 2020, from corresponding U.S. Appl. No. 16/808,500.
Notice of Allowance, dated Sep. 4, 2020, from corresponding U.S. Appl. No. 16/901,662.
Notice of Allowance, dated Sep. 9, 2021, from corresponding U.S. Appl. No. 17/334,909.
Restriction Requirement, dated Apr. 10, 2019, from corresponding U.S. Appl. No. 16/277,715.
Restriction Requirement, dated Apr. 13, 2020, from corresponding U.S. Appl. No. 16/817,136.
Restriction Requirement, dated Apr. 24, 2019, from corresponding U.S. Appl. No. 16/278,122.
Restriction Requirement, dated Aug. 7, 2019, from corresponding U.S. Appl. No. 16/410,866.
Restriction Requirement, dated Aug. 9, 2019, from corresponding U.S. Appl. No. 16/404,399.
Restriction Requirement, dated Dec. 17, 2021, from corresponding U.S. Appl. No. 17/475,244.
Restriction Requirement, dated Dec. 31, 2018, from corresponding U.S. Appl. No. 15/169,668.
Restriction Requirement, dated Dec. 9, 2019, from corresponding U.S. Appl. No. 16/565,395.
Restriction Requirement, dated Jan. 18, 2017, from corresponding U.S. Appl. No. 15/256,430.
Restriction Requirement, dated Jul. 28, 2017, from corresponding U.S. Appl. No. 15/169,658.
Restriction Requirement, dated Jun. 15, 2021, from corresponding U.S. Appl. No. 17/187,329.
Restriction Requirement, dated Jun. 15, 2021, from corresponding U.S. Appl. No. 17/222,556.
Restriction Requirement, dated Jun. 9, 2021, from corresponding U.S. Appl. No. 17/222,725.
Restriction Requirement, dated May 5, 2020, from corresponding U.S. Appl. No. 16/808,489.
Restriction Requirement, dated Nov. 10, 2021, from corresponding U.S. Appl. No. 17/366,754.
Restriction Requirement, dated Nov. 15, 2019, from corresponding U.S. Appl. No. 16/586,202.
Restriction Requirement, dated Nov. 21, 2016, from corresponding U.S. Appl. No. 15/254,901.
Restriction Requirement, dated Nov. 5, 2019, from corresponding U.S. Appl. No. 16/563,744.
Restriction Requirement, dated Oct. 17, 2018, from corresponding U.S. Appl. No. 16/055,984.
Restriction Requirement, dated Oct. 6, 2021, from corresponding U.S. Appl. No. 17/340,699.
Restriction Requirement, dated Sep. 15, 2020, from corresponding U.S. Appl. No. 16/925,628.
Restriction Requirement, dated Sep. 9, 2019, from corresponding U.S. Appl. No. 16/505,426.
Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/808,493.
Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/862,944.
Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/862,948.
Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/862,952.
Advisory Action, dated Jan. 6, 2021, from corresponding U.S. Appl. No. 16/808,497.
Advisory Action, dated Jun. 19, 2020, from corresponding U.S. Appl. No. 16/595,342.
Advisory Action, dated Jun. 2, 2020, from corresponding U.S. Appl. No. 16/404,491.
Advisory Action, dated May 21, 2020, from corresponding U.S. Appl. No. 16/557,392.
Written Opinion of the International Searching Authority, dated Jun. 6, 2017, from corresponding International Application No. PCT/US2017/025611.
Written Opinion of the International Searching Authority, dated Aug. 15, 2017, from corresponding International Application No. PCT/US2017/036919.
Written Opinion of the International Searching Authority, dated Aug. 21, 2017, from corresponding International Application No. PCT/US2017/036914.
Written Opinion of the International Searching Authority, dated Aug. 29, 2017, from corresponding International Application No. PCT/US2017/036898.
Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036889.
Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036890.
Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036893.
Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036901.
Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036913.
Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036920.
Written Opinion of the International Searching Authority, dated Dec. 14, 2018, from corresponding International Application No. PCT/US2018/045296.
Written Opinion of the International Searching Authority, dated Dec. 22, 2021, from corresponding International Application No. PCT/US2021/051217.
Written Opinion of the International Searching Authority, dated Feb. 11, 2022, from corresponding International Application No. PCT/US2021/053518.
Written Opinion of the International Searching Authority, dated Jan. 14, 2019, from corresponding International Application No. PCT/US2018/046949.
Written Opinion of the International Searching Authority, dated Jan. 5, 2022, from corresponding International Application No. PCT/US2021/050497.
Written Opinion of the International Searching Authority, dated Jan. 7, 2019, from corresponding International Application No. PCT/US2018/055772.
Written Opinion of the International Searching Authority, dated Jun. 21, 2017, from corresponding International Application No. PCT/US2017/025600.
Written Opinion of the International Searching Authority, dated Jun. 6, 2017, from corresponding International Application No. PCT/US2017/025605.
Written Opinion of the International Searching Authority, dated Mar. 14, 2019, from corresponding International Application No. PCT/US2018/055736.
Written Opinion of the International Searching Authority, dated Mar. 4, 2019, from corresponding International Application No. PCT/US2018/055773.
Written Opinion of the International Searching Authority, dated Mar. 4, 2019, from corresponding International Application No. PCT/US2018/055774.
Written Opinion of the International Searching Authority, dated Nov. 12, 2021, from corresponding International Application No. PCT/US2021/043481.
Written Opinion of the International Searching Authority, dated Nov. 19, 2018, from corresponding International Application No. PCT/US2018/046939.
Written Opinion of the International Searching Authority, dated Nov. 3, 2021, from corresponding International Application No. PCT/US2021/040893.
Written Opinion of the International Searching Authority, dated Nov. 3, 2021, from corresponding International Application No. PCT/US2021/044910.
Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043975.
Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043976.
Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043977.
Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/044026.
Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/045240.
Written Opinion of the International Searching Authority, dated Oct. 12, 2017, from corresponding International Application No. PCT/US2017/036888.
Written Opinion of the International Searching Authority, dated Oct. 12, 2018, from corresponding International Application No. PCT/US2018/044046.
Written Opinion of the International Searching Authority, dated Oct. 16, 2018, from corresponding International Application No. PCT/US2018/045243.
Written Opinion of the International Searching Authority, dated Oct. 18, 2018, from corresponding International Application No. PCT/US2018/045249.
Written Opinion of the International Searching Authority, dated Oct. 20, 2017, from corresponding International Application No. PCT/US2017/036917.
Written Opinion of the International Searching Authority, dated Oct. 3, 2017, from corresponding International Application No. PCT/US2017/036912.
Written Opinion of the International Searching Authority, dated Sep. 1, 2017, from corresponding International Application No. PCT/US2017/036896.
Written Opinion of the International Searching Authority, dated Sep. 12, 2018, from corresponding International Application No. PCT/US2018/037504.
Written Opinion of the International Searching Authority, dated Sep. 15, 2021, from corresponding International Application No. PCT/US2021/033631.
International Search Report, dated Aug. 15, 2017, from corresponding International Application No. PCT/ US2017/036919.
International Search Report, dated Aug. 21, 2017, from corresponding International Application No. PCT/ US2017/036914.
International Search Report, dated Aug. 29, 2017, from corresponding International Application No. PCT/ US2017/036898.
International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/ US2017/036889.
International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/ US2017/036890.
International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/ US2017/036893.
International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/ US2017/036901.
International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/ US2017/036913.
International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/ US2017/036920.
International Search Report, dated Dec. 14, 2018, from corresponding International Application No. PCT/ US2018/045296.
International Search Report, dated Dec. 22, 2021, from corresponding International Application No. PCT/ US2021/051217.
International Search Report, dated Feb. 11, 2022, from corresponding International Application No. PCT/ US2021/053518.
International Search Report, dated Jan. 14, 2019, from corresponding International Application No. PCT/ US2018/046949.
International Search Report, dated Jan. 5, 2022, from corresponding International Application No. PCT/ US2021/050497.
International Search Report, dated Jan. 7, 2019, from corresponding International Application No. PCT/ US2018/055772.
International Search Report, dated Jun. 21, 2017, from corresponding International Application No. PCT/ US2017/025600.
International Search Report, dated Jun. 6, 2017, from corresponding International Application No. PCT/ US2017/025605.
International Search Report, dated Jun. 6, 2017, from corresponding International Application No. PCT/ US2017/025611.
International Search Report, dated Mar. 14, 2019, from corresponding International Application No. PCT/ US2018/055736.
International Search Report, dated Mar. 4, 2019, from corresponding International Application No. PCT/ US2018/055773.
International Search Report, dated Mar. 4, 2019, from corresponding International Application No. PCT/ US2018/055774.
International Search Report, dated Nov. 12, 2021, from corresponding International Application No. PCT/ US2021/043481.
International Search Report, dated Nov. 19, 2018, from corresponding International Application No. PCT/ US2018/046939.
International Search Report, dated Nov. 3, 2021, from corresponding International Application No. PCT/ US2021/040893.
International Search Report, dated Nov. 3, 2021, from corresponding International Application No. PCT/ US2021/044910.
International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/ US2018/043975.
International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/ US2018/043976.
International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/ US2018/043977.
International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/ US2018/044026.
International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/ US2018/045240.
International Search Report, dated Oct. 12, 2017, from corresponding International Application No. PCT/ US2017/036888.
International Search Report, dated Oct. 12, 2018, from corresponding International Application No. PCT/ US2018/044046.
International Search Report, dated Oct. 16, 2018, from corresponding International Application No. PCT/ US2018/045243.
International Search Report, dated Oct. 18, 2018, from corresponding International Application No. PCT/ US2018/045249.
International Search Report, dated Oct. 20, 2017, from corresponding International Application No. PCT/ US2017/036917.
International Search Report, dated Oct. 3, 2017, from corresponding International Application No. PCT/ US2017/036912.
International Search Report, dated Sep. 1, 2017, from corresponding International Application No. PCT/ US2017/036896.
International Search Report, dated Sep. 12, 2018, from corresponding International Application No. PCT/ US2018/037504.
International Search Report, dated Sep. 15, 2021, from corresponding International Application No. PCT/ US2021/033631.
Invitation to Pay Additional Search Fees, dated Aug. 10, 2017, from corresponding International Application No. PCT/US2017/036912.
Invitation to Pay Additional Search Fees, dated Aug. 10, 2017, from corresponding International Application No. PCT/US2017/036917.
Invitation to Pay Additional Search Fees, dated Aug. 24, 2017, from corresponding International Application No. PCT/US2017/036888.
Invitation to Pay Additional Search Fees, dated Jan. 18, 2019, from corresponding International Application No. PCT/US2018/055736.
Invitation to Pay Additional Search Fees, dated Jan. 7, 2019, from corresponding International Application No. PCT/US2018/055773.
Invitation to Pay Additional Search Fees, dated Jan. 8, 2019, from corresponding International Application No. PCT/US2018/055774.
Invitation to Pay Additional Search Fees, dated Oct. 23, 2018, from corresponding International Application No. PCT/US2018/045296.
Abdullah et al, “The Mapping Process of Unstructured Data to the Structured Data”, ACM, pp. 151-155 (Year: 2013).
Acar, Gunes, et al, The Web Never Forgets, Computer and Communications Security, ACM, Nov. 3, 2014, pp. 674-689.
Aghasian, Erfan, et al, Scoring Users' Privacy Disclosure Across Multiple Online Social Networks,IEEE Access, Multidisciplinary Rapid Review Open Access Journal, Jul. 31, 2017, vol. 5, 2017.
Agosti et al, “Access and Exchange of Hierarchically Structured Resources on the Web with the NESTOR Framework”, IEEE, pp. 659-662 (Year: 2009).
Agrawal et al, “Securing Electronic Health Records Without Impeding the Flow of Information,” International Journal of Medical Informatics 76, 2007, pp. 471-479 (Year: 2007).
Ahmad et al, “Task-Oriented Access Model for Secure Data Sharing Over Cloud,” ACM, pp. 1-7 (Year: 2015).
Ahmad, et al, “Performance of Resource Management Algorithms for Processable Bulk Data Transfer Tasks in Grid Environments,” ACM, pp. 177-188 (Year: 2008).
Alaa et al, “Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes,” Apr. 27, 2017, IEEE, vol. 65, issue 1, pp. 207-217 (Year: 2017).
Aman et al, “Detecting Data Tampering Attacks in Synchrophasor Networks using Time Hopping,” IEEE, pp. 1-6 (Year: 2016).
Amar et al, “Privacy-Aware Infrastructure for Managing Personal Data,” ACM, pp. 571-572, Aug. 22-26, 2016 (Year: 2016).
Antunes et al, “Preserving Digital Data in Heterogeneous Environments”, ACM, pp. 345-348, 2009 (Year: 2009).
Ardagna, et al, “A Privacy-Aware Access Control System,” Journal of Computer Security, 16:4, pp. 369-397 (Year: 2008).
Avepoint, Automating Privacy Impact Assessments, AvePoint, Inc.
Avepoint, AvePoint Privacy Impact Assessment 1: User Guide, Cumulative Update 2, Revision E, Feb. 2015, AvePoint, Inc.
Avepoint, Installing and Configuring the APIA System, International Association of Privacy Professionals, AvePoint, Inc.
Ball, et al, “Aspects of the Computer-Based Patient Record,” Computers in Healthcare, Springer-Verlag New York Inc., pp. 1-23 (Year: 1992).
Banerjee et al, “Link Before You Share: Managing Privacy Policies through Blockchain,” IEEE, pp. 4438-4447 (Year: 2017).
Bang et al, “Building an Effective and Efficient Continuous Web Application Security Program,” 2016 International Conference on Cyber Security Situational Awareness, Data Analytics and Assessment (CyberSA), London, 2016, pp. 1-4 (Year: 2016).
Barker, “Personalizing Access Control by Generalizing Access Control,” ACM, pp. 149-158 (Year: 2010).
Barr, “Amazon Rekognition Update—Estimated Age Range for Faces,” AWS News Blog, Feb. 10, 2017, pp. 1-5 (Year: 2017).
Bayardo et al, “Technological Solutions for Protecting Privacy,” Computer 36.9 (2003), pp. 115-118, (Year: 2003).
Berezovskiy et al, “A framework for dynamic data source identification and orchestration on the Web”, ACM, pp. 1-8 (Year: 2010).
Bertino et al, “On Specifying Security Policies for Web Documents with an XML-based Language,” ACM, pp. 57-65 (Year: 2001).
Bertino et al, “Towards Mechanisms for Detection and Prevention of Data Exfiltration by Insiders,” Mar. 22, 2011, ACM, pp. 10-19 (Year: 2011).
Bhargav-Spantzel et al., Receipt Management- Transaction History based Trust Establishment, 2007, ACM, p. 82-91.
Bhuvaneswaran et al, “Redundant Parallel Data Transfer Schemes for the Grid Environment”, ACM, pp. 18 (Year: 2006).
Bieker, et al, “Privacy-Preserving Authentication Solutions—Best Practices for Implementation and EU Regulatory Perspectives,” Oct. 29, 2014, IEEE, pp. 1-10 (Year: 2014).
Bin, et al, “Research on Data Mining Models for the Internet of Things,” IEEE, pp. 1-6 (Year: 2010).
Binns, et al, “Data Havens, or Privacy Sans Frontières? A Study of International Personal Data Transfers,” ACM, pp. 273-274 (Year: 2002).
Bjorn Greif, “Cookie Pop-up Blocker: Cliqz Automatically Denies Consent Requests,” Cliqz.com, pp. 1-9, Aug. 11, 2019 (Year: 2019).
Borgida, “Description Logics in Data Management,” IEEE Transactions on Knowledge and Data Engineering, vol. 7, No. 5, Oct. 1995, pp. 671-682 (Year: 1995).
Brandt et al, “Efficient Metadata Management in Large Distributed Storage Systems,” IEEE, pp. 1-9 (Year: 2003).
Bujlow et al, “Web Tracking: Mechanisms, Implications, and Defenses,” Proceedings of the IEEE, Aug. 1, 2017, vol. 5, No. 8, pp. 1476-1510 (Year: 2017).
Byun, Ji-Won, Elisa Bertino, and Ninghui Li. “Purpose based access control of complex data for privacy protection.” Proceedings of the tenth ACM symposium on Access control models and technologies. ACM, 2005. (Year: 2005).
Carminati et al, “Enforcing Access Control Over Data Streams,” ACM, pp. 21-30 (Year: 2007).
Carpineto et al, “Automatic Assessment of Website Compliance to the European Cookie Law with CoolCheck,” Proceedings of the 2016 ACM on Workshop on Privacy in the Electronic Society, 2016, pp. 135-138 (Year: 2016).
Cerpzone, “How to Access Data on Data Archival Storage and Recovery System”, https://www.saj.usace.army.mil/Portals/44/docs/Environmental/Lake%200%20Watershed/15February2017/How%20To%20Access%20Model%20Data%20on%20DASR.pdf?ver=2017-02-16-095535-633, Feb. 16, 2017.
Cha et al, “A Data-Driven Security Risk Assessment Scheme for Personal Data Protection,” IEEE, pp. 50510-50517 (Year: 2018).
Cha, et al, “Process-Oriented Approach for Validating Asset Value for Evaluating Information Security Risk,” IEEE, Aug. 31, 2009, pp. 379-385 (Year: 2009).
Chapados et al, “Scoring Models for Insurance Risk Sharing Pool Optimization,” 2008, IEEE, pp. 97-105 (Year: 2008).
Cheng, Raymond, et al, “Radiatus: A Shared-Nothing Server-Side Web Architecture,” Proceedings of the Seventh ACM Symposium on Cloud Computing, Oct. 5, 2016, pp. 237-250 (Year: 2016).
Choi et al, “Retrieval Effectiveness of Table of Contents and Subject Headings,” ACM, pp. 103-104 (Year: 2007).
Chowdhury et al, “A System Architecture for Subject-Centric Data Sharing”, ACM, pp. 1-10 (Year: 2018).
Chowdhury et al, “Managing Data Transfers in Computer Clusters with Orchestra,” ACM, pp. 98-109 (Year: 2011).
Civili et al, “Mastro Studio: Managing Ontology-Based Data Access Applications,” ACM, pp. 1314-1317, Aug. 26-30, 2013 (Year: 2013).
Decision Regarding Institution of Post-Grant Review in Case PGR2018-00056 for U.S. Pat. No. 9,691,090 B1, Oct. 11, 2018.
Degeling et al, “We Value Your Privacy . . . Now Take Some Cookies: Measuring the GDPRs Impact on Web Privacy,” arxiv.org, Cornell University Library, 201 Olin Library Cornell University, Ithaca, NY 14853, Aug. 15, 2018, pp. 1-15 (Year: 2019).
Dimou et al, “Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data Access and Retrieval”, ACM, pp. 145-152 (Year: 2015).
Dokholyan et al, “Regulatory and Ethical Considerations for Linking Clinical and Administrative Databases,” American Heart Journal 157.6 (2009), pp. 971-982 (Year: 2009).
Dunkel et al, “Data Organization and Access for Efficient Data Mining”, IEEE, pp. 522-529 (Year: 1999).
Dwork, Cynthia, Differential Privacy, Microsoft Research, p. 1-12.
Emerson, et al, “A Data Mining Driven Risk Profiling Method for Road Asset Management,” ACM, pp. 1267-1275 (Year: 2013).
Enck, William, et al, TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones, ACM Transactions on Computer Systems, vol. 32, No. 2, Article 5, Jun. 2014, p. 5:1-5:29.
Everypixel Team, “A New Age Recognition API Detects the Age of People on Photos,” May 20, 2019, pp. 1-5 (Year: 2019).
Falahrastegar, Marjan, et al, Tracking Personal Identifiers Across the Web, Medical Image Computing and Computer-Assisted Intervention—Miccai 2015, 18th International Conference, Oct. 5, 2015, Munich, Germany.
Fan et al, “Intrusion Investigations with Data-hiding for Computer Log-file Forensics,” IEEE, pp. 1-6 (Year: 2010).
Final Written Decision Regarding Post-Grant Review in Case PGR2018-00056 for U.S. Pat. No. 9,691,090 B1, Oct. 10, 2019.
Francis, Andre, Business Mathematics and Statistics, South-Western Cengage Learning, 2008, Sixth Edition.
Friedman et al, “Data Mining with Differential Privacy,” ACM, Jul. 2010, pp. 493-502 (Year: 2010).
Friedman et al, “Informed Consent in the Mozilla Browser: Implementing Value-Sensitive Design,” Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 2002, IEEE, pp. 1-10 (Year: 2002).
Frikken, Keith B., et al, Yet Another Privacy Metric for Publishing Micro-data, Miami University, Oct. 27, 2008, p. 117-121.
Fung et al, “Discover Information and Knowledge from Websites using an Integrated Summarization and Visualization Framework”, IEEE, pp. 232-235 (Year: 2010).
Gajare et al, “Improved Automatic Feature Selection Approach for Health Risk Prediction,” Feb. 16, 2018, IEEE, pp. 816-819 (Year: 2018).
Geko et al, “An Ontology Capturing the Interdependence of the General Data Protection Regulation (GDPR) and Information Security,” ACM, pp. 1-6, Nov. 15-16, 2018 (Year: 2018).
Ghiglieri, Marco et al.; Personal DLP for Facebook, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (Percom Workshops); IEEE; Mar. 24, 2014; pp. 629-634.
Gilda, et al, “Blockchain for Student Data Privacy and Consent,” 2018 International Conference on Computer Communication and Informatics, Jan. 4 - 6, 2018, IEEE, pp. 1-5 (Year: 2018).
Golab, et al, “Issues in Data Stream Management,” ACM, SIGMOD Record, vol. 32, No. 2, Jun. 2003, pp. 5-14 (Year: 2003).
Golfarelli et al, “Beyond Data Warehousing: What's Next in Business Intelligence?,” ACM, pp. 1-6 (Year: 2004).
Gonçalves et al, “The XML Log Standard for Digital Libraries: Analysis, Evolution, and Deployment,” IEEE, pp. 312-314 (Year: 2003).
Goni, Kyriaki, “Deletion Process_Only you can see my history: Investigating Digital Privacy, Digital Oblivion, and Control on Personal Data Through an Interactive Art Installation,” ACM, 2016, retrieved online on Oct. 3, 2019, pp. 324-333. Retrieved from the Internet URL: http://delivery.acm.org/10.1145/2920000/291.
Gowadia et al, “RDF Metadata for XML Access Control,” ACM, pp. 31-48 (Year: 2003).
Grolinger, et al, “Data Management in Cloud Environments: NoSQL and NewSQL Data Stores,” Journal of Cloud Computing: Advances, Systems and Applications, pp. 1-24 (Year: 2013).
Guo, et al, “Opal: A Passe-partout for Web Forms,” ACM, pp. 353-356 (Year: 2012).
Gustarini, et al, “Evaluation of Challenges in Human Subject Studies ”In-the-Wild“ Using Subjects' Personal Smartphones,” ACM, pp. 1447-1456 (Year: 2013).
Hacigümüs, Hakan, et al, Executing SQL over Encrypted Data in the Database-Service-Provider Model, ACM, Jun. 4, 2002, pp. 216-227.
Halevy, et al, “Schema Mediation in Peer Data Management Systems,” IEEE, Proceedings of the 19th International Conference on Data Engineering, 2003, pp. 505-516 (Year: 2003).
Hauch, et al, “Information Intelligence: Metadata for Information Discovery, Access, and Integration,” ACM, pp. 793-798 (Year: 2005).
He et al, “A Crowdsourcing Framework for Detecting of Cross-Browser Issues in Web Application,” ACM, pp. 1-4, Nov. 6, 2015 (Year: 2015).
Hernandez, et al, “Data Exchange with Data-Metadata Translations,” ACM, pp. 260-273 (Year: 2008).
Hinde, “A Model to Assess Organisational Information Privacy Maturity Against the Protection of Personal Information Act” Dissertation University of Cape Town 2014, pp. 1-121 (Year: 2014).
Hodge, et al, “Managing Virtual Data Marts with Metapointer Tables,” pp. 1-7 (Year: 2002).
Horrall et al, “Evaluating Risk: IBM's Country Financial Risk and Treasury Risk Scorecards,” Jul. 21, 2014, IBM, vol. 58, issue 4, pp. 2:1-2:9 (Year: 2014).
Hu, et al, “Attribute Considerations for Access Control Systems,” NIST Special Publication 800-205, Jun. 2019, pp. 1-42 (Year: 2019).
Hu, et al, “Guide to Attribute Based Access Control (ABAC) Definition and Considerations (Draft),” NIST Special Publication 800-162, pp. 1-54 (Year: 2013).
Huang, et al, “A Study on Information Security Management with Personal Data Protection,” IEEE, Dec. 9, 2011, pp. 624-630 (Year: 2011).
Huner et al, “Towards a Maturity Model for Corporate Data Quality Management”, ACM, pp. 231-238, 2009 (Year: 2009).
Hunton & Williams LLP, The Role of Risk Management in Data Protection, Privacy Risk Framework and the Risk—based Approach to Privacy, Centre for Information Policy Leadership, Workshop II, Nov. 23, 2014.
Huo et al, “A Cloud Storage Architecture Model for Data-Intensive Applications,” IEEE, pp. 1-4 (Year: 2011).
Iapp, Daily Dashboard, PIA Tool Stocked With New Templates for DPI, Infosec, International Association of Privacy Professionals, Apr. 22, 2014.
Iapp, ISO/IEC 27001 Information Security Management Template, Resource Center, International Association of Privacy Professionals.
Imran et al, “Searching in Cloud Object Storage by Using a Metadata Model”, IEEE, 2014, retrieved online on Apr. 1, 2020, pp. 121-128. Retrieved from the Internet: URL: https://ieeeexplore.ieee.org/stamp/stamp.jsp? (Year: 2014).
Iordanou et al, “Tracing Cross Border Web Tracking,” Oct. 31, 2018, pp. 329-342, ACM (Year: 2018).
Islam, et al, “Mixture Model Based Label Association Techniques for Web Accessibility,” ACM, pp. 67-76 (Year: 2010).
Jensen, et al, “Temporal Data Management,” IEEE Transactions on Knowledge and Data Engineering, vol. 11, No. 1, Jan./Feb. 1999, pp. 36-44 (Year: 1999).
Jiahao Chen et al. “Fairness Under Unawareness: Assessing Disparity when Protected Class is Unobserved,” arxiv.org, Cornell University Library, 201 Olin Library Cornell University, Ithaca, NY 14853, Nov. 27, 2018 (Nov. 27, 2018), Section 2, Figure 2. (Year 2018).
Joel Reardon et al., Secure Data Deletion from Persistent Media, ACM, Nov. 4, 2013, retrieved online on Jun. 13, 2019, pp. 271-283. Retrieved from the Internet: URL: http://delivery.acm.org/10.1145/2520000/2516699/p271-reardon.pdf? (Year: 2013).
Jones et al, “AI and the Ethics of Automating Consent,” IEEE, pp. 64-72, May 2018 (Year: 2018).
Joonbakhsh et al, “Mining and Extraction of Personal Software Process measures through IDE Interaction logs,” ACM/IEEE, 2018, retrieved online on Dec. 2, 2019, pp. 78-81. Retrieved from the Internet: URL: http://delivery.acm.org/10.1145/3200000/3196462/p78-joonbakhsh.pdf? (Year: 2018).
Jun et al, “Scalable Multi-Access Flash Store for Big Data Analytics,” ACM, pp. 55-64 (Year: 2014).
Kirkham, et al, “A Personal Data Store for an Internet of Subjects,” IEEE, pp. 92-97 (Year: 2011).
Korba, Larry et al.; “Private Data Discovery for Privacy Compliance in Collaborative Environments”; Cooperative Design, Visualization, and Engineering; Springer Berlin Heidelberg; Sep. 21, 2008; pp. 142-150.
Krol, Kat, et al, Control versus Effort in Privacy Warnings for Webforms, ACM, Oct. 24, 2016, pp. 13-23.
Lamb et al, “Role-Based Access Control for Data Service Integration”, ACM, pp. 3-11 (Year: 2006).
Leadbetter, et al, “Where Big Data Meets Linked Data: Applying Standard Data Models to Environmental Data Streams,” IEEE, pp. 2929-2937 (Year: 2016).
Lebeau, Franck, et al, “Model-Based Vulnerability Testing for Web Applications,” 2013 IEEE Sixth International Conference on Software Testing, Verification and Validation Workshops, pp. 445-452, IEEE, 2013 (Year: 2013).
Li, Ninghui, et al, t-Closeness: Privacy Beyond k-Anonymity and I-Diversity, IEEE, 2014, p. 106-115.
Liu et al, “A Novel Approach for Detecting Browser-based Silent Miner,” IEEE, pp. 490-497 (Year: 2018).
Liu et al, “Cross-Geography Scientific Data Transferring Trends and Behavior,” ACM, pp. 267-278 (Year: 2018).
Liu, Kun, et al, A Framework for Computing the Privacy Scores of Users in Online Social Networks, ACM Transactions on Knowledge Discovery from Data, vol. 5, No. 1, Article 6, Dec. 2010, 30 pages.
Liu, Yandong, et al, “Finding the Right Consumer: Optimizing for Conversion in Display Advertising Campaigns,” Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, Feb. 2, 2012, pp. 473-428 (Year: 2012).
Lizar et al, “Usable Consents: Tracking and Managing Use of Personal Data with a Consent Transaction Receipt,” Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, 2014, pp. 647-652 (Year: 2014).
Lu et al, “An HTTP Flooding Detection Method Based on Browser Behavior,” IEEE, pp. 1151-1154 (Year: 2006).
Lu, “How Machine Learning Mitigates Racial Bias in the US Housing Market,” Available as SSRN 3489519, pp. 1-73, Nov. 2019 (Year: 2019).
Luu, et al, “Combined Local and Holistic Facial Features for Age-Determination,” 2010 11th Int. Conf. Control, Automation, Robotics and Vision, Singapore, Dec. 7, 2010, IEEE, pp. 900-904 (Year: 2010).
Ma Ziang, et al, “LibRadar: Fast and Accurate Detection of Third-Party Libraries in Android Apps,” 2016 IEEE/ACM 38th IEEE International Conference on Software Engineering Companion (ICSE-C), ACM, May 14, 2016, pp. 653-656, DOI: http://dx.doi.org/10.1145/2889160.2889178, p. 653, r.col, par. 1-3; figure 3 (Year: 2016).
Mandal, et al, “Automated Age Prediction Using Wrinkles Features of Facial Images and Neural Network,” International Journal of Emerging Engineering Research and Technology, vol. 5, Issue 2, Feb. 2017, pp. 12-20 (Year: 2017).
Maret et al, “Multimedia Information Interchange: Web Forms Meet Data Servers”, IEEE, pp. 499-505 (Year: 1999).
Martin, et al, “Hidden Surveillance by Web Sites: Web Bugs in Contemporary Use,” Communications of the ACM, vol. 46, No. 12, Dec. 2003, pp. 258-264. Internet source https://doi.org/10.1145/953460.953509. (Year: 2003).
McGarth et al, “Digital Library Technology for Locating and Accessing Scientific Data”, ACM, pp. 188-194 (Year: 1999).
Mesbah et al, “Crawling Ajax-Based Web Applications Through Dynamic Analysis of User Interface State Changes,” ACM Transactions on the Web (TWEB) vol. 6, No. 1, Article 3, Mar. 2012, pp. 1-30 (Year: 2012).
Moiso et al, “Towards a User-Centric Personal Data Ecosystem The Role of the Bank of Individual's Data,” 2012 16th International Conference on Intelligence in Next Generation Networks, Berlin, 2012, pp. 202-209 (Year: 2012).
Moscoso-Zea et al, “Datawarehouse Design for Educational Data Mining,” IEEE, pp. 1-6 (Year: 2016).
Mudepalli et al, “An efficient data retrieval approach using blowfish encryption on cloud CipherText Retrieval in Cloud Computing” IEEE, pp. 267-271 (Year: 2017).
Mundada et al, “Half-Baked Cookies: Hardening Cookie-Based Authentication for the Modern Web,” Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016, pp. 675-685 (Year: 2016).
Newman et al, “High Speed Scientific Data Transfers using Software Defined Networking,” ACM, pp. 1-9 (Year: 2015).
Newman, “Email Archive Overviews using Subject Indexes”, ACM, pp. 652-653, 2002 (Year: 2002).
Nishikawa, Taiji, English Translation of JP 2019154505, Aug. 27, 2019 (Year: 2019).
Notice of Filing Date for Petition for Post-Grant Review of related U.S. Pat. No. 9,691,090 dated Apr. 12, 2018.
Nouwens et al, “Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence,” ACM, pp. 1-13, Apr. 25, 2020 (Year: 2020).
O'Keefe et al, “Privacy-Preserving Data Linkage Protocols,” Proceedings of the 2004 ACM Workshop on Privacy in the Electronic Society, 2004, pp. 94-102 (Year: 2004).
Olenski, Steve, For Consumers, Data Is A Matter Of Trust, CMO Network, Apr. 18, 2016, https://www.forbes.com/sites/steveolenski/2016/04/18/for-consumers-data-is-a-matter-of-trust/#2e48496278b3.
Paes, “Student Research Abstract: Automatic Detection of Cross-Browser Incompatibilities using Machine Learning and Screenshot Similarity,” ACM, pp. 697-698, Apr. 3, 2017 (Year: 2017).
Pearson, et al, “A Model-Based Privacy Compliance Checker,” IJEBR, vol. 5, No. 2, pp. 63-83, 2009, Nov. 21, 2008. [Online]. Available: http://dx.doi.org/10.4018/jebr.2009040104 (Year: 2008).
Pechenizkiy et al, “Process Mining Online Assessment Data,” Educational Data Mining, pp. 279-288 (Year: 2009).
Petition for Post-Grant Review of related U.S. Pat. No. 9,691,090 dated Mar. 27, 2018.
Petrie et al, “The Relationship between Accessibility and Usability of Websites”, ACM, pp. 397-406 (Year: 2007).
Pfeifle, Sam, The Privacy Advisor, IAPP and AvePoint Launch New Free PIA Tool, International Association of Privacy Professionals, Mar. 5, 2014.
Pfeifle, Sam, The Privacy Advisor, IAPP Heads to Singapore with APIA Template in Tow, International Association of Privacy Professionals, https://iapp.org/news/a/iapp-heads-to-singapore-with-apia-template_in_tow/, Mar. 28, 2014, p. 1-3.
Ping et al, “Wide Area Placement of Data Replicas for Fast and Highly Available Data Access,” ACM, pp. 1-8 (Year: 2011).
Popescu-Zeletin, “The Data Access and Transfer Support in a Local Heterogeneous Network (HMINET)”, IEEE, pp. 147-152 (Year: 1979).
Porter, “De-Identified Data and Third Party Data Mining: The Risk of Re-Identification of Personal Information,” Shidler JL Com. & Tech. 5, 2008, pp. 1-9 (Year: 2008).
Pretorius, et al, “Attributing Users Based on Web Browser History,” 2017 IEEE Conference on Application, Information and Network Security (AINS), 2017, pp. 69-74 (Year: 2017).
Qing-Jiang et al, “The (P, a, K) Anonymity Model for Privacy Protection of Personal Information in the Social Networks, ” 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, vol. 2 IEEE, 2011, pp. 420-423 (Year: 2011).
Qiu, et al, “Design and Application of Data Integration Platform Based on Web Services and XML,” IEEE, pp. 253-256 (Year: 2016).
Radu, et al, “Analyzing Risk Evaluation Frameworks and Risk Assessment Methods,” IEEE, Dec. 12, 2020, pp. 1-6 (Year: 2020).
Rakers, “Managing Professional and Personal Sensitive Information,” ACM, pp. 9-13, Oct. 24-27, 2010 (Year: 2010).
Reardon et al, User-Level Secure Deletion on Log-Structured File Systems, ACM, 2012, retrieved online on Apr. 22, 2021, pp. 1-11. Retrieved from the Internet: URL: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=450713515DC7F19F8ED09AE961D4B60E. (Year: 2012).
Regulation (EU) 2016/679, “On the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation),” Official Journal of the European Union, May 4, 2016, pp. L 119/1-L 119/88 (Year: 2016).
Roesner et al, “Detecting and Defending Against Third-Party Tracking on the Web,” 9th USENIX Symposium on Networked Systems Design and Implementation, Apr. 11, 2013, pp. 1-14, ACM (Year: 2013).
Rozepz, “What is Google Privacy Checkup? Everything You Need to Know,” Tom's Guide web post, Apr. 26, 2018, pp. 1-11 (Year: 2018).
Sachinopoulou et al, “Ontology-Based Approach for Managing Personal Health and Wellness Information,” IEEE, pp. 1802-1805 (Year: 2007).
Salim et al, “Data Retrieval and Security using Lightweight Directory Access Protocol”, IEEE, pp. 685-688 (Year: 2009).
Santhisree, et al, “Web Usage Data Clustering Using Dbscan Algorithm and Set Similarities,” IEEE, pp. 220-224 (Year: 2010).
Sanzo et al, “Analytical Modeling of Lock-Based Concurrency Control with Arbitrary Transaction Data Access Patterns,” ACM, pp. 69-78 (Year: 2010).
Sarkar et al, “Towards Enforcement of the EU GDPR: Enabling Data Erasure,” 2018 IEEE Confs on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, Congress on Cybermatics, 2018, pp. 222-229, IEEE (Year: 2018).
Schwartz, Edward J., et al, 2010 IEEE Symposium on Security and Privacy: All You Ever Wanted to Know About Dynamic Analysis and forward Symbolic Execution (but might have been afraid to ask), Carnegie Mellon University, IEEE Computer Society, 2010, p. 317-331.
Sedinic et al, “Security Risk Management in Complex Organization,” May 29, 2015, IEEE, pp. 1331-1337 (Year: 2015).
Shahriar et al, “A Model-Based Detection of Vulnerable and Malicious Browser Extensions,” IEEE, pp. 198-207 (Year: 2013).
Shankar et al, “Doppleganger: Better Browser Privacy Without the Bother,” Proceedings of the 13th ACM Conference on Computer and Communications Security; [ACM Conference on Computer and Communications Security], New York, NY : ACM, US, Oct. 30, 2006, pp. 154-167 (Year: 2006).
Singh, et al, “A Metadata Catalog Service for Data Intensive Applications,” ACM, pp. 1-17 (Year: 2003).
Sjosten et al, “Discovering Browser Extensions via Web Accessible Resources,” ACM, pp. 329-336, Mar. 22, 2017 (Year: 2017).
Slezak, et al, “Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries,” ACM, pp. 1337-1345 (Year: 2008).
Soceanu, et al, “Managing the Privacy and Security of eHealth Data,” May 29, 2015, IEEE, pp. 1-8 (Year: 2015).
Srinivasan et al, “Descriptive Data Analysis of File Transfer Data,” ACM, pp. 1-8 (Year: 2014).
Srivastava, Agrima, et al, Measuring Privacy Leaks in Online Social Networks, International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013.
Stack Overflow, “Is there a way to force a user to scroll to the bottom of a div?,” Stack Overflow, pp. 1-11, Nov. 2013. [Online]. Available: https://stackoverflow.com/questions/2745935/is-there-a-way-to-force-a-user-to-scroll-to-the-bottom-of-a-div (Year: 2013).
Stern, Joanna, “iPhone Privacy Is Broken . . . and Apps Are to Blame”, The Wall Street Journal, wsj.com, May 31, 2019.
Strodl, et al, “Personal & SOHO Archiving,” Vienna University of Technology, Vienna, Austria, JCDL '08, Jun. 16-20, 2008, Pittsburgh, Pennsylvania, USA, pp. 115-123 (Year: 2008).
Sukumar et al, “Review on Modern Data Preprocessing Techniques in Web Usage Mining (WUM),” IEEE, 2016, pp. 64-69 (Year: 2016).
Symantec, Symantex Data Loss Prevention—Discover, monitor, and protect confidential data; 2008; Symantec Corporation; http://www.mssuk.com/images/Symantec%2014552315_IRC_BR_DLP_03.09_sngl.pdf.
Tanasa et al, “Advanced Data Preprocessing for Intersites Web Usage Mining,” IEEE, Mar. 2004, pp. 59-65 (Year: 2004).
Tanwar, et al, “Live Forensics Analysis: Violations of Business Security Policy,” 2014 International Conference on Contemporary Computing and Informatics (IC31), 2014, pp. 971-976 (Year: 2014).
The Cookie Collective, Optanon Cookie Policy Generator, The Cookie Collective, Year 2016, http://web.archive.org/web/20160324062743/https:/optanon.com/.
Thuraisingham, “Security Issues for the Semantic Web,” Proceedings 27th Annual International Computer Software and Applications Conference, COMPSAC 2003, Dallas, TX, USA, 2003, pp. 633-638 (Year: 2003).
TRUSTe Announces General Availability of Assessment Manager for Enterprises to Streamline Data Privacy Management with Automation, PRNewswire, 20150304.
Tsai et al, “Determinants of Intangible Assets Value: The Data Mining Approach,” Knowledge Based System, pp. 67-77 http://www.elsevier.com/locate/knosys (Year: 2012).
Tuomas Aura et al, Scanning Electronic Documents for Personally Identifiable Information, ACM, 2006-10-30, retrieved online on Jun. 13, 2019, pp. 41-49. Retrieved from the Internet: URL: http://delivery.acm.org/10.1145/1180000/1179608/p41-aura.pdf? (Year: 2006).
Van Eijk et al, “The Impact of User Location on Cookie Notices (Inside and Outside of the European Union,” IEEE Security & Privacy Workshop on Technology and Consumer Protection (CONPRO '19), Jan. 1, 2019 (Year: 2019).
Wang et al, “Revealing Key Non-Financial Factors for Online Credit-Scoring in E-Financing,” 2013, IEEE, pp. 1-6 (Year: 2013).
Wang et al, “Secure and Efficient Access to Outsourced Data,” ACM, pp. 55-65 (Year: 2009).
Weaver et al, “Understanding Information Preview in Mobile Email Processing”, ACM, pp. 303-312, 2011 (Year: 2011).
Wu et al, “Data Mining with Big Data,” IEEE, Jan. 2014, pp. 97-107, vol. 26, No. 1, (Year: 2014).
www.truste.com (1), 200150207, Internet Archive Wayback Machine, www.archive.org,2_7_2015.
Xu, et al, “GatorShare: A File System Framework for High-Throughput Data Management,” ACM, pp. 776-786 (Year: 2010).
Yang et al, “DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems,” IEEE, pp. 1790-1801 (Year: 2013).
Yang et al, “Mining Web Access Sequence with Improved Apriori Algorithm,” IEEE, 2017, pp. 780-784 (Year: 2017).
Ye et al, “An Evolution-Based Cache Scheme for Scalable Mobile Data Access,” ACM, pp. 1-7 (Year: 2007).
Yin et al, “Multibank Memory Optimization for Parallel Data Access in Multiple Data Arrays”, ACM, pp. 1-8 (Year: 2016).
Yin et al, “Outsourced Similarity Search on Metric Data Assets”, IEEE, pp. 338-352 (Year: 2012).
Yu, “Using Data from Social Media Websites to Inspire the Design of Assistive Technology”, ACM, pp. 1-2 (Year: 2016).
Yu, et al, “Performance and Fairness Issues in Big Data Transfers,” ACM, pp. 9-11 (Year: 2014).
Yue et al, “An Automatic HTTP Cookie Management System,” Computer Networks, Elsevier, Amsterdam, NL, vol. 54, No. 13, Sep. 15, 2010, pp. 2182-2198 (Year: 2010).
Zannone, et al, “Maintaining Privacy on Derived Objects,” ACM, pp. 10-19 (Year: 2005).
Zeldovich, Nickolai, et al, Making Information Flow Explicit in HiStar, OSDI '06: 7th USENIX Symposium on Operating Systems Design and Implementation, USENIX Association, p. 263-278.
Zhang et al, “Data Transfer Performance Issues for a Web Services Interface to Synchrotron Experiments”, ACM, pp. 59-65 (Year: 2007).
Zhang et al, “Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data”, ACM, pp. 1425-1434 (Year: 2015).
Zheng, et al, “Methodologies for Cross-Domain Data Fusion: An Overview,” IEEE, pp. 16-34 (Year: 2015).
Zheng, et al, “Toward Assured Data Deletion in Cloud Storage,” IEEE, vol. 34, No. 3, pp. 101-107 May/Jun. 2020 (Year: 2020).
Zhu, et al, “Dynamic Data Integration Using Web Services,” IEEE, pp. 1-8 (Year: 2004).
Final Office Action, dated Sep. 19, 2022, from corresponding U.S. Appl. No. 17/306,496.
Notice of Allowance, dated Aug. 22, 2022, from corresponding U.S. Appl. No. 17/499,595.
Notice of Allowance, dated Sep. 2, 2022, from corresponding U.S. Appl. No. 17/380,485.
Office Action, dated Jul. 28, 2022, from corresponding U.S. Appl. No. 16/925,550.
Office Action, dated Jul. 7, 2022, from corresponding U.S. Appl. No. 17/370,650.
Office Action, dated Sep. 2, 2022, from corresponding U.S. Appl. No. 17/499,624.
Dowling, “Auditing Global HR Compliance”, published May 23, 2014, retrieved from https://www.shrm.org/resourcesandtools/hr-topics/global-hr/pages/auditing-global-hr-compliance.aspx Jul. 2, 2022.
ESWC 2008 Ph.D. Symposium, Tenerife, Spain retrieved from https://ceur-ws.org/vol-358/ on Jun. 7, 23.
Heil et al., “Downsizing and Righsizing”, archived May 23, 2013, retreived from https://web.archive.org/web/20130523153311/https://www.referenceforbusiness.com/management/De-Ele/Downsizing-and-Rightsizing.html Jun. 7, 2023.
Kamiran, et al. “Classifying without Discriminating,” 2009 2nd International Conference on Computer, Control and Communication, IEEE, Abstract (Year: 2009).
Zemel, et al. “Learning Fair Representations,” Proceedings of the 30th International Conference on Machine Learning, JMLR vol. 28, pp. 4-5 (Year: 2013).
Final Office Action, dated Apr. 13, 2023, from corresponding U.S. Appl. No. 16/925,550.
Final Office Action, dated Mar. 3, 2023, from corresponding U.S. Appl. No. 17/306,438.
Office Action, dated Mar. 9, 2023, from corresponding U.S. Appl. No. 17/306,496.
Office Action, dated Apr. 4, 2023, from corresponding U.S. Appl. No. 17/346,586.
Office Action, dated Mar. 16, 2023, from corresponding U.S. Appl. No. 17/494,220.
Office Action, dated Feb. 15, 2023, from corresponding U.S. Appl. No. 17/499,582.
Notice of Allowance, dated Jan. 31, 2023, from corresponding U.S. Appl. No. 17/499,624.
Notice of Allowance, dated Mar. 8, 2023, from corresponding U.S. Appl. No. 17/530,201.
Office Action, dated Nov. 11, 2022, from corresponding U.S. Appl. No. 17/670,341.
Final Office Action, dated Mar. 16, 2023, from corresponding U.S. Appl. No. 17/670,341.
Office Action, dated Aug. 2, 2022, from corresponding U.S. Appl. No. 17/670,354.
Final Office Action, dated Mar. 3, 2023, from corresponding U.S. Appl. No. 17/670,354.
Office Action, dated Aug. 12, 2022, from corresponding U.S. Appl. No. 17/679,734.
Final Office Action, dated Mar. 9, 2023, from corresponding U.S. Appl. No. 17/679,734.
Notice of Allowance, dated Feb. 8, 2023, from corresponding U.S. Appl. No. 17/831,700.
Related Publications (1)
Number Date Country
20220261288 A1 Aug 2022 US
Provisional Applications (1)
Number Date Country
63150299 Feb 2021 US