Remote or “cloud” computing typically utilizes a collection of virtual machines or other remote servers, rather than local servers or personal computers, to process, manage, or store user data. A communications network can interconnect the remote servers as nodes to form a computing fabric. During operation, one or more nodes of the computing fabric can cooperate with one another to provide a distributed computing environment that facilitates execution of various software applications to provide corresponding computing services.
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Remote computing can offer a wide variety of computation, storage, or other suitable types of computing services to users based on service subscription. For example, a user can subscribe to a hosted email service provided by a remote email server that is managed by a service provider. Based on the service subscription of the user, the user has access to emails, calendar, reminders, tasks, and other items hosted on the remote email server. For example, the remote email server can facilitate the user to setup meetings by transmitting meeting invitations via emails.
From time to time, the service provider can deploy new services, update existing services, features, or otherwise alter the computing services available to the user. For example, the service provider can deploy a new conversational scheduling service to users subscribed to the hosted email service. The conversation scheduling service can, with user permission, monitor user conversations in emails for detecting a meeting intent among users. In response to a detected meeting intent, the conversational scheduling service can be configured to automatically generate and transmit a meeting suggestion (e.g., as an email) to the users. The meeting suggestion can include an email that provides access to one or more actions, for instance, generating an electronic meeting invitation for scheduling the meeting. As such, the conversational scheduling service can simplify meeting scheduling and improve efficiency of arranging for such meetings.
Though new features or computing services can potentially offer improved user experience, the inventors have recognized that sometimes, early versions of new features or computing services can be rather limited in functionality, user friendliness, or have other shortcomings. As such, users experiencing the early versions may opt to unsubscribe from such new features or computing services due to negative user experience. Once unsubscribed, the users may not experience any later versions of the features or computing services even though the later versions have additional functionalities, improved user friendliness, better designed user interfaces, or other functional improvements.
Several embodiments of the disclosed technology can address at least some aspects of the foregoing difficulties by implementing automatic subscription control of features or computing services without user intervention. For example, in certain embodiments, once a new feature or computing service is initialized and provided to the users, a subscription controller can monitor for user interaction or utilization of the provided new feature or computing service. Thus, for the example conversational scheduling feature above, the subscription controller can be configured to detect whether a user receiving such meeting suggestions have acted on the meeting suggestions. If the user has not acted on a certain number (e.g., three or four) of the meeting suggestions, the subscription controller can automatically unsubscribe the user from the conversational scheduling feature, without user input. In other embodiments, the foregoing subscription decision can also be based on an elapsed time since the user received a meeting suggestion, or based on other suitable conditions.
The subscription controller can also be configured to monitor for new versions, updates, or other suitable modifications to features or computing services after the subscription controller has automatically unsubscribed the user. In response to detecting a new version of a feature or computing service, the subscription controller can determine whether to restart the feature or computing service for the user. For example, if an update is simply a bug fix to the feature or computing service, the subscription controller can determine not to restart the feature of computing service. On the other hand, if the update is a new release of the feature or computing service, the subscription controller can decide to restart the feature or computing service. Thus, in response to determining that the feature or computing service should be restarted, the subscription controller can automatically re-subscribe the user to the feature or computing service of the new version, without user input. The subscription controller can then continue to monitor for user interaction as discussed above.
Several embodiments of the disclosed technology can thus allow users to experience new features or computing services without user intervention. Unlike in other computing systems, the subscription controller can automatically detect user interaction with a new feature or computing service. Based on the detected user interaction, the subscription controller can deduce whether a user is interested in using such a new feature or computing service. If the user is deemed not interested in the new feature or computing service, the subscription controller can automatically unsubscribe the user from the new feature or computing service. However, later on, if a new and improved version of the feature or computing service (e.g., with an improved user interface) becomes available, the subscription controller can automatically re-subscribe the user to the feature or computing service again, without user input. As such, several embodiments of the disclosed technology can allow the service provider to provide a better user experience to any features or computing services accessible to the users.
Certain embodiments of systems, devices, components, modules, routines, data structures, and processes for automatic subscription control for computing services provided by datacenters or other suitable distributed computing systems are described below. In the following description, specific details of components are included to provide a thorough understanding of certain embodiments of the disclosed technology. A person skilled in the relevant art will also understand that the technology can have additional embodiments. The technology can also be practiced without several of the details of the embodiments described below with reference to
As used herein, the term “distributed computing system” generally refers to an interconnected computer network having a plurality of network nodes that connect a plurality of servers or hosts to one another or to external networks (e.g., the Internet). The term “network node” generally refers to a physical network device. Example network nodes include routers, switches, hubs, bridges, load balancers, security gateways, or firewalls. A “host” generally refers to a physical computing device configured to implement, for instance, one or more virtual machines or other suitable virtualized components. For example, a host can include a server having a hypervisor configured to support one or more virtual machines or other suitable types of virtual components.
A computer network can be conceptually divided into an overlay network implemented over an underlay network. An “overlay network” generally refers to an abstracted network implemented over and operating on top of an underlay network. The underlay network can include multiple physical network nodes interconnected with one another. An overlay network can include one or more virtual networks. A “virtual network” generally refers to an abstraction of a portion of the underlay network in the overlay network. A virtual network can include one or more virtual end points referred to as “tenant sites” individually used by a user or “tenant” to access the virtual network and associated computing, storage, or other suitable resources. A tenant site can host one or more tenant end points (“TEPs”), for example, virtual machines. The virtual networks can interconnect multiple TEPs on different hosts. Virtual network nodes in the overlay network can be connected to one another by virtual links individually corresponding to one or more network routes along one or more physical network nodes in the underlay network.
Also used herein, the term “computing service,” “service,” or “feature” generally refers to one or more computing resources provided over a computer network such as the Internet. Example cloud services include software as a service (“SaaS”), platform as a service (“PaaS”), and infrastructure as a service (“Iaas”). SaaS is a software distribution technique in which software applications are hosted by a cloud service provider in, for instance, datacenters, and accessed by users over a computer network. PaaS generally refers to delivery of operating systems and associated services over the computer network without requiring downloads or installation. IaaS generally refers to outsourcing equipment used to support storage, hardware, servers, network devices, or other components, all of which are made accessible over a computer network.
Also used herein, the term “subscription” or to “subscribe” to a computing service generally refers to obtaining a licensed access to a SaaS typically delivered via a computer network, such as the Internet. One example subscription can include Office365® provided by Microsoft Corporation of Redmond, Wash. To “unsubscribe” from a computing service generally refers to declining the licensed access to the computing service. Further used herein, an “interaction level” with a computing service generally refers to a level of user actions of interfacing or utilizing the computing service. Example user actions can include providing user input to the computing service as well as consuming output (e.g., messages) from the computing service.
Service providers can sometimes deploy new services, update existing services, or otherwise alter the computing services available to users based on service subscription. For example, the service provider can deploy a new version of a computing service or add a feature to an existing computing service. Though new features or computing services can potentially offer improved user experience, early versions of new features or computing services can sometimes be limited in functionality, user friendliness, or have other shortcomings. As such, users experiencing the early versions may opt to unsubscribe from such new features or computing services. Once unsubscribed, the users may not experience the same features or computing services even when later versions have additional functionalities, improved user friendliness, or other improvements.
Several embodiments of the disclosed technology can improve user experience of computing services by implementing automatic subscription control of features or computing services. In certain embodiments, once a new feature or computing service is automatically subscribed to by a user, a subscription controller can monitor for user interaction or utilization of the provided new feature or computing service. If the user has not acted on or utilize the computing service, the subscription controller can automatically unsubscribe the user from the computing service, without user input.
The subscription controller can also be configured to monitor for new versions, updates, or other suitable modifications to features or computing services that the subscription controller has automatically unsubscribed for the user. In response to detecting a new version of a feature or computing service, the subscription controller can decide to re-subscribe the user to the computing service of the new version. Thus, several embodiments of the disclosed technology can allow users to experience new features or computing services without user intervention, as described in more detail below with reference to
As shown in
The hosts 106 can individually be configured to provide computing, storage, and/or other suitable cloud or other suitable types of computing services to the users 101 based on user subscriptions. For example, as described in more detail below with reference to
The client devices 102 can each include a computing device that facilitates corresponding users 101 to access cloud services provided by the hosts 106 via the underlay network 108. For example, in the illustrated embodiment, the client devices 102 individually include a desktop computer. In other embodiments, the client devices 102 can also include laptop computers, tablet computers, smartphones, or other suitable computing devices. Even though three users 101 are shown in
The platform controller 125 can be configured to manage operations of various components of the distributed computing system 100. For example, the platform controller 125 can be configured to allocate virtual machines 144 (or other suitable resources) in the distributed computing system 100, monitor operations of the allocated virtual machines 144, or terminate any allocated virtual machines 144 once operations are complete. In certain examples, the platform controller 125 can also be configured to monitor and track versions, updates, or other modifications to applications and corresponding computing services available in the distributed computing system 100. In the illustrated implementation, the platform controller 125 is shown as an independent hardware/software component of the distributed computing system 100. In other embodiments, the platform controller 125 can also be a datacenter controller, a fabric controller, or other suitable types of controller or a component thereof implemented as a computing service on one or more of the hosts 106.
The subscription controller 126 can be configured to automatically manage subscriptions to various features or computing services by the users 101 in the distributed computing system 100. For example, in certain implementations, the subscription controller 126 can be configured to monitor a utilization level of a computing service by a user 101 after the computing device is automatically subscribed to by the user. The subscription controller 126 can also be configured to determine whether the utilization level of the user 101 with the automatically subscribed computing service is below a preset threshold. In response to determining that the utilization level of the user is below the preset threshold, the subscription controller 126 can automatically unsubscribe the user 101 from the computing service. While the computing service remains automatically unsubscribed to by the user 101, the subscription controller 126 can be configured to detect a new version or update of the computing service is now available in the distributed computing system 100. Upon detecting the new version or update, the subscription controller 126 can automatically re-subscribe the user 101 to the computing service of the new version. As such, the user 101 can experience new features or computing services without user intervention, as described in more detail below with reference to
In
Components within a system may take different forms within the system. As one example, a system comprising a first component, a second component and a third component can, without limitation, encompass a system that has the first component being a property in source code, the second component being a binary compiled library, and the third component being a thread created at runtime. The computer program, procedure, or process may be compiled into object, intermediate, or machine code and presented for execution by one or more processors of a personal computer, a network server, a laptop computer, a smartphone, and/or other suitable computing devices.
Equally, components may include hardware circuitry. A person of ordinary skill in the art would recognize that hardware may be considered fossilized software, and software may be considered liquefied hardware. As just one example, software instructions in a component may be burned to a Programmable Logic Array circuit, or may be designed as a hardware circuit with appropriate integrated circuits. Equally, hardware may be emulated by software. Various implementations of source, intermediate, and/or object code and associated data may be stored in a computer memory that includes read-only memory, random-access memory, magnetic disk storage media, optical storage media, flash memory devices, and/or other suitable computer readable storage media excluding propagated signals.
As shown in
The first and second hosts 106a and 106b can individually contain instructions in the memory 134 executable by the processors 132 to cause the individual processors 132 to provide a hypervisor 140 (identified individually as first and second hypervisors 140a and 140b) and a status agent 141 (identified individually as first and second status agent 141a and 141b). Even though the hypervisor 140 and the status agent 141 are shown as separate components, in other embodiments, the status agent 141 can be a part of the hypervisor 140 or an operating system (not shown) executing on the corresponding host 106. In further embodiments, the status agent 141 can be a standalone application.
The hypervisors 140 can individually be configured to generate, monitor, terminate, and/or otherwise manage one or more virtual machines 144 organized into tenant sites 142. For example, as shown in
Also shown in
The virtual machines 144 can be configured to execute one or more applications 147 to provide suitable cloud or other suitable types of computing services to the users 101 (
As shown in
In one example, the computing service provided to the user 101 can include a conversational scheduling service. The conversation scheduling service can, with permission from the user 101, monitor user conversations in emails for detecting a meeting intent among users 101. In response to a detected meeting intent, the conversational scheduling service can be configured to automatically generate and transmit a service message 162 in the form of a meeting suggestion to the user 101. The meeting suggestion can include an email that provides access to one or more actions, for instance, generating an electronic meeting invitation for scheduling the meeting. As such, the conversational scheduling service can simplify meeting scheduling and improve efficiency of arranging for such meetings.
In another example, the computing service provided to the user 101 can include a notification service for upcoming agenda items collected, with permission of the user 101, from an electronic calendar associated with the user 101. In such an example, the service message 162 can include an email containing data representing upcoming appointments, scheduled meetings, or other suitable calendar items. In further examples, the computing service provided to the user 101 can also include services for map direction suggestion, current driving time notification, or other suitable computing services. Though only one application 147 is shown in
As shown in
Once the interaction data 158 is generated, the reporting agent 145 can also provide the generated interaction data 158 to the subscription controller 126 periodically or in other suitable manners. Such reporting can be upon request from the subscription controller 126, without any prompt from the subscription controller 126, or in other suitable manners. Even though the reporting agent 145 is described above as being configured to generate and report the interaction data 158, in other embodiments, the host 106 may provide the generating and reporting functionalities related to the interaction data 158 using separate applications, modules, or routines.
As shown in
The computer readable storage 151 can contain records of interaction data 158 and application data 159. The interaction data 158 can include data representing a level of utilization or interaction with a computing service provided by one or more hosts 106 (
The application data 159 can include data representing a version, update, build, or other suitable edition information related to an application 147 configured to provide a corresponding computing service. In one example, the application data 159 can contain a series of integers delineated by periods, such as, “10.1.16,” in which “10” designates a main version number while “1” and “16” designate a subversion number and a build number, respectively. In other examples, the application data 159 can also contain other suitable types of numbers or alphanumerical values that represent edition information of the application 147. In further examples, the application data 159 can also contain comments such as “bug fix,” “user interface update,” or other suitable details of modifications in addition to or in lieu of the edition information.
The data collector 152 can be configured to collect interaction data 158 from one or more applications 147 or the virtual machines 144 hosted on the host 106. In certain embodiments, the data collector 152 can query the host 106 for the interaction data 158 regarding utilization of the computing service corresponding to the application 147 periodically or in other suitable manners. In turn, the data collector 152 can be configured to receive the requested interaction data 158 from the reporting agent 145. In other embodiments, the data collector 152 can simply receive the interaction data 158 from the reporting agent 145 without any prompt. In further embodiments, the data collector 152 can be configured to implement a combination of the foregoing data retrieving techniques. The data collector 152 can then provide the received interaction data 158 to the data analyzer 154 for further processing and store the interaction data 158 in the computer readable storage 151.
The data analyzer 154 can be configured to process the received interaction data 158 based on a preset interaction threshold. In certain embodiments, the data analyzer 154 can be configured to aggregate the received interaction data 158 related to the application 147 and obtain a total value of interaction level for a preset period (e.g., one week). In other embodiments, the data analyzer 154 can include a counter configured to obtain a number of service messages 162 transmitted to the user 101 and without interaction. In further embodiments, the data analyzer 154 can include routines for calculating an average, a medium, an elapsed time, or other suitable parameters for measuring an interaction level of the user 101 with the provided computing service.
The data analyzer 154 can also be configured to compare the processed interaction data 158 with a preset interaction threshold and indicate whether sufficient interaction has been detected based thereon. In one example, the data analyzer 154 can be configured to indicate that sufficient interaction has not been detected based on the following conditions:
The auto subscriber 156 can be configured to automatically subscribe and/or unsubscribe the user 101 to the provided computing service corresponding to the application 147 based on the indication from the data analyzer 154. As shown in
In another embodiment, the auto subscriber 156 can automatically unsubscribe the user 101 from the computing service when the data analyzer 154 indicates that sufficient interaction between the user 101 and the computing service has not been detected, as shown in
Subsequently, a new version, update, or other suitable edition of the application 147′ may be available on the host 106, as shown in
As shown in
Several embodiments of the distributed computing system 100 can thus allow the user 101 to experience new features or computing services without user intervention. Unlike in certain other computing systems, the subscription controller 126 can automatically subscribe the user 101 to and detect user interaction with a new feature or computing service. Based on the detected user interaction, the subscription controller 126 can deduce whether a user is interested in using such a new feature or computing service. If the user 101 is deemed not interested in the new feature or computing service due to various reasons, the subscription controller 126 can automatically unsubscribe the user 101 from the new feature or computing service. However, later, if a new and improved version of the feature or computing service (e.g., with an improved user interface) becomes available, the subscription controller 126 can automatically re-subscribe the user 101 to the feature or computing service again, without user input. As such, the distributed computing system 100 can provide a better user experience to any features or computing services accessible to the user 101.
As shown in
Depending on the desired configuration, the processor 304 can be of any type including but not limited to a microprocessor (μP), a microcontroller (μC), a digital signal processor (DSP), or any combination thereof. The processor 304 can include one more levels of caching, such as a level-one cache 310 and a level-two cache 312, a processor core 314, and registers 316. An example processor core 314 can include an arithmetic logic unit (ALU), a floating point unit (FPU), a digital signal processing core (DSP Core), or any combination thereof. An example memory controller 318 can also be used with processor 304, or in some implementations memory controller 318 can be an internal part of processor 304.
Depending on the desired configuration, the system memory 306 can be of any type including but not limited to volatile memory (such as RAM), non-volatile memory (such as ROM, flash memory, etc.) or any combination thereof. The system memory 306 can include an operating system 320, one or more applications 322, and program data 324. As shown in
The computing device 300 can have additional features or functionality, and additional interfaces to facilitate communications between basic configuration 302 and any other devices and interfaces. For example, a bus/interface controller 330 can be used to facilitate communications between the basic configuration 302 and one or more data storage devices 332 via a storage interface bus 334. The data storage devices 332 can be removable storage devices 336, non-removable storage devices 338, or a combination thereof. Examples of removable storage and non-removable storage devices include magnetic disk devices such as flexible disk drives and hard-disk drives (HDD), optical disk drives such as compact disk (CD) drives or digital versatile disk (DVD) drives, solid state drives (SSD), and tape drives to name a few. Example computer storage media can include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. The term “computer readable storage media” or “computer readable storage device” excludes propagated signals and communication media.
The system memory 306, removable storage devices 336, and non-removable storage devices 338 are examples of computer readable storage media. Computer readable storage media include, but not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other media which can be used to store the desired information and which can be accessed by computing device 300. Any such computer readable storage media can be a part of computing device 300. The term “computer readable storage medium” excludes propagated signals and communication media.
The computing device 300 can also include an interface bus 340 for facilitating communication from various interface devices (e.g., output devices 342, peripheral interfaces 344, and communication devices 346) to the basic configuration 302 via bus/interface controller 330. Example output devices 342 include a graphics processing unit 348 and an audio processing unit 350, which can be configured to communicate to various external devices such as a display or speakers via one or more A/V ports 352. Example peripheral interfaces 344 include a serial interface controller 354 or a parallel interface controller 356, which can be configured to communicate with external devices such as input devices (e.g., keyboard, mouse, pen, voice input device, touch input device, etc.) or other peripheral devices (e.g., printer, scanner, etc.) via one or more I/O ports 358. An example communication device 346 includes a network controller 360, which can be arranged to facilitate communications with one or more other computing devices 362 over a network communication link via one or more communication ports 364.
The network communication link can be one example of a communication media. Communication media can typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and can include any information delivery media. A “modulated data signal” can be a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media can include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), microwave, infrared (IR) and other wireless media. The term computer readable media as used herein can include both storage media and communication media.
The computing device 300 can be implemented as a portion of a small-form factor portable (or mobile) electronic device such as a cell phone, a personal data assistant (PDA), a personal media player device, a wireless web-watch device, a personal headset device, an application specific device, or a hybrid device that include any of the above functions. The computing device 300 can also be implemented as a personal computer including both laptop computer and non-laptop computer configurations.
Specific embodiments of the technology have been described above for purposes of illustration. However, various modifications can be made without deviating from the foregoing disclosure. In addition, many of the elements of one embodiment can be combined with other embodiments in addition to or in lieu of the elements of the other embodiments. Accordingly, the technology is not limited except as by the appended claims.
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20190182330 A1 | Jun 2019 | US |