Patent Grant
12126673
This invention relates to a network architecture that facilitates secure and flexible programmability between a user device and across a network with full lifecycle management of services and infrastructure applications.
Existing network solutions are built on proprietary hardware and software. Network Operators & Information Technology (NOIT) can only configure the proprietary network infrastructure provided by vendors and are unable to add new and customized features or capabilities. As a result, the NOIT can only add new desired features by making such requests to their infrastructure vendors or pursuing standardization processes. But these existing approaches are time consuming and resource intensive.
An aspect of the disclosure herein is a plurality of network elements in a packet system, said network elements comprising: a flexible network device adapted to process data flows in the packet system having at least one fxDeviceApp; a flexible cloud platform having at least one fxCloudApp, wherein the at least one fxDeviceApp and at least one fxCloudApp are in secure communication to form a distributed application; and an application management portal which manages life cycle of the distributed applications.
Another aspect of the disclosure is a plurality of network elements in a packet system, said network elements comprising: a flexible cloud platform having a plurality of virtual machines, wherein each of the virtual machines has at least one fxCloudApp; and a flexible network device adapted to process data flows in the packet system having at least one fxDeviceApp, wherein the at least one fxDeviceApp and fxCloudApp are in secure communication to form a distributed application.
Another aspect of the disclosure is a plurality of network elements in a packet system, said network elements comprising: a flexible cloud platform having a plurality of zones, wherein each of the plurality of zones has at least one fxCloudApp; and a flexible network device adapted to process data flows in the packet system having at least one fxDeviceApp, wherein the at least one fxDeviceApp and fxCloudApp are in secure communication to form a distributed application.
The Distributed Software Defined Network (dSDN) disclosed herein is an architecture that enables secure and flexible programmability across a network with full lifecycle management of services and infrastructure applications (fxDeviceApp). The dSDN also harmonizes application deployment across the network independent of the hardware vendor. As a result, the dSDN simplifies the network deployment lifecycle from concept to design to implementation to decommissioning.
The following terms, acronyms, abbreviations and descriptions are explained below and are used throughout the detailed description of the dSDN:
Database. One or more large structured sets of persistent data maintained upon a computer system organized and structured according to a software system defining rules for organization as well as responding to queries to read, write, or modify data as well as provide statistical information regarding the contained data. As used in this disclosure in describing the dSDN, a database may be either a single unified system or a distributed system wherein certain database elements are located upon different systems or servers which may be in different physical locations, acting in harmony to appear as one unified database. Where databases are described, it will be understood by one of ordinary skill in the art that (i) alternative database structures to those described may be readily employed, and (ii) other memory structures besides databases may be readily employed. Any illustrations or descriptions of any sample databases presented herein are illustrative arrangements for stored representations of information. The database formats may include relational databases, object-based models and/or distributed databases which could be used to store and manipulate the data types described herein. Likewise, object methods or behaviors of a database can be used to implement various processes, such as the described herein. In addition, the databases may, in a known manner, be stored locally or remotely from a device which accesses data in such a database.
The term “determining” and grammatical variants thereof (e.g., to determine a price, determining a value, determine an object which meets a certain criterion) is used in an extremely broad sense. The term “determining” encompasses a wide variety of actions and therefore “determining” can include calculating, computing, processing, deriving, investigating, looking up (e.g., looking up in a table, a database or another data structure), ascertaining and the like. Also, “determining” can include receiving (e.g., receiving information), accessing (e.g., accessing data in a memory) and the like. Also, “determining” can include resolving, selecting, choosing, establishing, and the like. The term “determining” does not imply certainty or absolute precision, and therefore “determining” can include estimating, extrapolating, predicting, guessing and the like. The term “determining” does not imply that mathematical processing must be performed, and does not imply that numerical methods must be used, and does not imply that an algorithm or process is used.
The functionality and/or the features of a single device that is described may be alternatively embodied by one or more other devices which are described but are not explicitly described as having such functionality/features. Thus, other embodiments need not include the described device itself, but rather can include the one or more other devices which would, in those other embodiments, have such functionality/features.
Devices that are described as in “communication” with each other or“coupled” to each other need not be in continuous communication with each other or in direct physical contact, unless expressly specified otherwise. On the contrary, such devices need only transmit to each other as necessary or desirable, and may actually refrain from exchanging data most of the time. For example, a machine in communication with or coupled with another machine via the Internet may not transmit data to the other machine for long period of time (e.g. weeks at a time). In addition, devices that are in communication with or coupled with each other may communicate directly or indirectly through one or more intermediaries.
Although process (or method) steps may be described or claimed in a particular sequential order, such processes may be configured to work in different orders. Further, some steps may be performed simultaneously despite being described or implied as occurring non-simultaneously (e.g., because one step is described after the other step) unless specifically indicated. Moreover, the illustration of a process by its depiction in a drawing does not imply that the illustrated process is exclusive of other variations and modifications thereto, does not imply that the illustrated process or any of its steps are necessary to the embodiment(s), and does not imply that the illustrated process is preferred. Where a process is described in an embodiment the process may operate without any user intervention.
It will be readily apparent to one of ordinary skill in the art that the various processes of the dSDN described herein may be implemented by, e.g., appropriately programmed general purpose computer(s), special purpose computer(s) and computing device(s). Typically a processor (e.g., one or more microprocessors, one or more microcontrollers, one or more digital signal processors) will receive instructions (e.g., from a memory or like device), and execute those instructions, thereby performing one or more processes defined by those instructions. Instructions may be embodied in, e.g., one or more computer programs, one or more scripts.
A “processor” means one or more microprocessors, central processing units (CPUs), computing devices, controllers, microcontrollers, digital signal processors, or like devices or any combination thereof, regardless of the architecture (e.g., chip-level multiprocessing/multi-core, Reduced Instruction Set Computer (RISC), Complex Instruction Set Computer (CISC), Microprocessor without Interlocked Pipeline Stages, pipelining configuration, or simultaneous multithreading).
Further, programs that implement methods described herein may be stored and transmitted using a variety of media (e.g., computer readable media) in a number of manners. In some embodiments, hard-wired circuitry or custom hardware may be used in place of, or in combination with, some or all of the software instructions that can implement the processes of various embodiments. Thus, various combinations of hardware and software may be used instead of software only to implement the embodiments.
The term “non-transitory computer readable medium” in this disclosure refers to any medium, a plurality of the same, or a combination of different media, that participate in providing data (e.g., instructions, data structures) which may be read by a computer, a processor or a like device. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media may include, for example, optical or magnetic disks and other persistent memory. Volatile media may include dynamic random access memory (DRAM), which typically constitutes the main memory. Transmission media may include coaxial cables, copper wire and fiber optics, including the wires that comprise a system bus coupled to the processor. Transmission media may include or convey acoustic waves, light waves and electromagnetic emissions, such as those generated during radio frequency (RF) and infrared (IR) data communications. Common forms of non-transitory computer-readable media in which the dSDN may be implemented include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, a Random Access Memory (RAM), a programmable read only memory (PROM), an erasable programmable read only memory (EPROM), a flash electrically erasable programmable read only memory (FLASH-EEPROM), any other memory chip or cartridge, a carrier wave as described hereinafter, or any other medium from which a computer can read.
Various forms of computer readable media in this disclosure may be involved in carrying data (e.g. sequences of instructions) to a processor. For example, data may be (i) delivered from RAM to a processor; (ii) carried over a wireless transmission medium; (iii) formatted and/or transmitted according to numerous formats, standards or protocols, such as Ethernet (or IEEE 802.3), Bluetooth, and Transmission Control Protocol/Internet Protocol (“TCP/IP”), Time Division Multiple Access (TOMA), Code Division Multiple Access (CDMA), and 2G/3G; and/or (iv) encrypted to ensure privacy or prevent fraud in any of a variety of ways well known in the art.
Thus in some embodiments in this disclosure a description of a process may be a description of a non-transitory computer-readable medium storing a program for performing the process. The computer readable medium may store (in any appropriate format) those program elements which are appropriate to perform the method.
In an embodiment, a server computer, network element or centralized authority may not be necessary or desirable. For example, an embodiment may be practiced on one or more devices without a central authority. In such an embodiment, any functions described herein as performed by the server computer or data described as stored on the server computer may instead be performed by or stored on one or more such devices.
In interpreting the present application (which includes the claims), one of ordinary skill in the art shall refer to the prosecution history of the present application, but not to the prosecution history of any other patent or patent application, regardless of whether there are other patent applications that are considered related to the present application, and regardless of whether there are other patent applications that share a claim of priority with the present application.
Numerous embodiments are described in the present application, and are presented for illustrative purposes only. The described embodiments are not, and are not intended to be, limiting in any sense. One of ordinary skill in the art will recognize that the disclosed embodiment(s) may be practiced with various modifications and alterations, such as structural, logical, software, and electrical modifications. Although particular features of the disclosed invention(s) may be described with reference to one or more particular embodiments and/or drawings, it should be understood that such features are not limited to usage in the one or more particular embodiments or drawings with reference to which they are described, unless expressly specified otherwise.
The present disclosure is not a literal description of all embodiments of the invention(s). Also, the present disclosure is not a listing of features of the invention(s) which must be present in all embodiments. A description of an embodiment with several components or features does not imply that all or even any of such components/features are required. On the contrary, a variety of optional components are described to illustrate the wide variety of possible embodiments of the present invention(s).
The following description has been presented for purposes of illustration and description and is not intended to be exhaustive or to limit the embodiments to the precise form disclosed. Many modifications and variations are possible in light of the teachings disclosed herein.
The embodiments were chosen and described to explain principles of operation and their practical applications. However, the scope of the invention is to be defined by the claims.
The major technical reason for inflexibility in network infrastructure has been related mostly to the proprietary hardware and rigid software architecture in the existing network elements (routers, switches, gateways, cellular base-stations, WiFi access points, etc.). With recent advancements in semiconductor device manufacturing, there is no longer a cost barrier to add computing power to many electronics in the market including networking infrastructure. The addition of such compute capabilities would open up new opportunities for programmable platforms in the network and ultimately creating more flexible network architecture and business models.
The Distributed Software Defined Network (dSDN) disclosed herein is an end-to-end architecture that enables secure and flexible programmability across a network with full lifecycle management of services and applications (fxApp). The dSDN also harmonizes fxApp deployment across the network independent of the hardware vendor. As a result, the dSDN simplifies the network deployment lifecycle from concept to design to implementation to decommissioning. In this disclosure, the dSDN is applied to the wireless networks as an exemplary embodiment. However, the dSDN is not limited to wireless networks embodiments and it could be applied to many other network types including enterprise, wireline service providers, data centers, and Internet of Things (IoT).
A BS is made up of the following main functional blocks: 1) radio frequency (RF) front end; 2) clock; 3) baseband; 4) power manager; and 5) central processing unit (CPU). Some BS's also have a dedicated packet processor (PP) to accelerate packet processing in hardware. BS vendors may also use custom or merchant System-on-a-Chip (SoC) or Multi-Chip-Packaging (MCP) solutions to combine various functions into a single chip (e.g., PP, CPU, and baseband).
Even though there has been attempts to open up various interfaces in the BS (such as the Open BS Architecture Initiative that defines interfaces between these functional modules in the BS), there has been very little to no efforts to unify the programmability of the BS itself. As a result, the MNOs suffer from the following difficulties. First, the core network Internet edge (CNIE), Packet Data Gateway (PDG) and the surrounding functions are becoming extremely complicated, non scalable, and expensive. Second, each MNO needs certain customization and feature sets. Currently, they depend on their vendors for these customizations, which could cost the MNO tremendously both financially and in regards to time-to-market (TTM); hence, hindering innovation. In addition, usually these features are put into standards or in the vendor's feature set, thus eliminating the MNO differentiation against the other MNOs. Third, if the MNO is multi-vendor in their CNIE, coordinating all the vendors to implement the same features is usually a difficult and a time-consuming effort. As a result, more add-on network appliances are introduced into the CNIE which adds to the network management complexity. Fourth, as a BS becomes Internet Protocol (IP) based, there is more visibility into the user traffic types and new innovative opportunities are missed for creative traffic shaping features, backhaul bandwidth optimization, prioritization at radio edge, power management algorithms, etc. Fifth, many features implemented in CNIE present suboptimal performance. For example, the filtering enforcement at CNIE is fundamentally inefficient since the packets have to travel all the way through the expensive air interface, the backhaul, various other core network elements and transport networks to get to the CNIE. Sixth, the Radio Access Network (RAN) deployments are a very expensive endeavor for MNOs. The current rigid BS designs limit innovation and force the MNOs to undergo major upgrades every few years.
The problems stated above apply to many different types of networks even though here they are presented in cellular networks as a focus. In the present disclosure, the dSDN exhibits a new paradigm in the software programmability of networks that would address the problems above and enable many more advanced features.
The dSDN may be located at a network element (or system) 200 which is shown in detail in
In the dSDN architecture, the network features are virtualized and may be distributed across separate network elements that cooperate together to create an advanced, programmable, and scalable network. In an alternative embodiment, the network features may be located at a single network element. A high-level overview of a dSDN system 300 is depicted in
In the dSDN system, fxDeviceApp 302b may have a sister app in the backend cloud infrastructure (i.e., flexible cloud platform 304) referenced here as fxCloudApp 304a. The fxCloudApp 304a in the cloud is paired with its fxDeviceApp 302b in the fxDevice 302. The fxCloudApp 304a and the fxDeviceApp 302b collectively form a distributed application (dApp or fxApp). In this description, when fxDeviceApp is referenced it shall mean any application that may have software components in the fxDevice, fxCloud, or both. In general, an fxApp package may include the following software components:
It is important to note that the fxDeviceApp 302b and fxCloudApp 304a could use any protocol to communicate with each other and there is no need for standardizing this communication allowing for ultimate freedom for the developers. This allows for the system to operate in a loosely coupled autonomous fashion allowing for asynchronous communication in a distributed fashion.
The fxApps lifecycle is managed via fxManager 306. ThefxManager 306 presents a user-friendly portal to the network administrator (admin) to discover, test prior to deployment, provision, and deprovision dApps. Using fxManager 306, the admin may discover new fxApps from the fxStore 308, which presents all the tested and certified vApps as well as showing the supported fxOS version, support hardware platforms, and other information such as reviews and number of commercial deployments by all NOIT customers.
fxDevice 302 is defined as any networking equipment embedded with a special flexible operating system (fxOS) 302a. The purpose of fxOS 302a is to enable a carrier-class programmable platform. The fx:OS 302a is configured to do, but is not limited to, the following. First, since fxOS 302a is designed for network equipment, it allows for efficient execution and running all the time. A plurality of power save modes may be implemented to ensure energy saving schemes without hindering the functionality of the fxDevice 302. Second, it enables simultaneous execution of several flexible applications (fxDeviceApp 302b) on the fxDevice 302. Third, it allows for application of a legacy compiled binary or byte-code of another language (for example, Java or Android®) in addition to fxDeviceApps 302b. Fourth, it allows FastPath processing for data plane packets. The packet forwarding in this case separated from the control plane operations. The FastPath engine allows integration with specialized hardware accelerators or packet processors (PP). The packet forwarding may be implemented with software/kernel enhancements all in software. Another FastPath implementation may use both software/kernel enhancement and hardware packet processors (PP). Fifth, the fxOS 302a is capable of Deep Packet Inspection (DPI) and identifying all the flows and their related protocols, services and present this information in a format useful to application developers. The fxOS 302a can act on the data flows as the directed by the application developer. Sixth, applications are securely isolated from each other and to communicate with them is completely configurable by policies defined by the admin. Seventh, resource utilization of each application is policed such that an application may not be able to exceed its usage. For example, an application is pre-allocated the memory size, cache/storage space, and CPU cycles. Eighth, the applications may be signed with unique certificate security keys. The security keys and certificates may be allocated and/or signed by a certificate authority. The fx:Device 302 may be protected by validating signed applications to run or to install in the device. Ninth, it allows hot upgrade of the software and applications on the platform with little to no interruption to the operational aspect of the platform and its applications. Tenth, the fxOS 302a may boot by using the secure code from the network servers (cloud-booting). This would ensure tamper-proof software foundation for the fxDevice 302. Eleventh, there may be a secure and programmable firewall in the fxOS 302a. This embedded firewall protects against attacks to the fxDevice 302 and network attached to the network. The fx:OS 302a firewall may be configured by the developer and it does allow replacing of attack detection algorithms (e.g., man-in-the-middle detection algorithm). The fxOS 302a may allow secure caching of user data, web pages, and media files (video and audio) in the fxDevice 302. The secure connections to the cloud (fxCloud 304) can enable sharing and control of the caching between the fxCloud 304, fxDevice 302, or the rest of the network. Twelfth, the fxOS 302a can support multi-threading and multi-core CPUs. This feature may dynamically distribute the threads to various CPU core without developers assistance.
The fxOS 302a allows secure connection to the fxCloud 304. This secure connection allows communication between fxDeviceApps 302b in the fxDevice 302 and fxCloudApp 304a in the fxCloud 304. The fxOS 302a controls the access of applications to platform APIs. An application is categorized into an Access Level (AL) based on which the fxOS 302a decides that the application does not exceed its AL and access APIs that it is not authorized. The fxCloud 304 and the fxOS 302a create a virtual fabric (fxVF) for messaging between applications. The actual message can travel directly between two fxDevices or it may traverse the fxCloud 304. The messaging complexity may be abstract for the developer.
Above the kernel, there are several tools 416, native daemons 418, native libraries 420 and Hardware Abstraction Layers (HAL) 422. These tools abstract out the hardware dependencies for the upper layers and programmers. The Runtime 424 is an embedded virtual machine capable of securely isolating and executing the applications. System Services 426 are a set of services always running and available to the developers (e.g., timing and messaging services).
fx-Framework Library 428 consists of several Frameworks. The new frameworks are the library extensions introduced explicitly for the dSDN framework. Each of these frameworks adds a set of methods of (functions) and data structures for the following examples:
Using the frameworks, there are potentially at least two types of application types that are possible. First, the System Native Applications 430 that are provided as the initial application load into the platform. These applications could be used by other applications by links or API. Second, the fxDeviceApps 302b that are written by third party developers or the NOIT.
The fxOS 302a is mostly used for networking applications. There are some potential use cases where there is a need for a general purpose OS to run the legacy software applications with no need of recompilation. An example of a double OS situation may be where a digital signage (using a general purpose OS such as Android®) in a shopping mall also acts as a smart small-cell (using the fxOS 302a). In such a solution, any existing Android®application (for example) could be loaded in the fx:Device 302 and in parallel networking applications (fxDeviceApps 302b) could run on the same fxDevice302.
The 304 is an integral part of the dSDN framework. The fxCloud 304 connects to various parts of the fxDevice 302 to form a single virtual view of the system. Examples of the main fx:Cloud 304 responsibilities include the following. First, it interacts and manages all applications, firmware, and fxOS 302a in the fxDevice 302. Second, it secures isolation environments for distributed apps. Third, it directs the Virtual Machine lifecycle management including load-linked VM creations and destruction (Cloud Breathing). Fourth, the fxCloud 304 executes instructions defined by the fxManager 306. Fifth, it implements uniform policy (including security) distribution and execution across dSDN 300 (including the fxDevice 302, fxDeviceApps 302b, fxCloudApps 304a, anddApps). Sixth, Plug-and-Play commissioning of thefxDevice 302 introduction and network expansion. Seventh, Distributed Resource Service (dRS) by which distributed applications can seamlessly communicate and message to each other using published APIs or proprietary methods within the pre-defined policies. Eighth, security violation discovery and alert system. Ninth, translation and/or exposure of Resources APIs (RAPI) to the systems outside the dSDN 300 within pre-defined policies. Tenth, fxCloud 304 in coordination with the fxDevice 302 creates a Distributed Notification Service (dNS) across the dSDN 300 by which the applications could be notified of an event to wakeup and/or respond to the event. Eleventh, fxCloud 304 in coordination with thefxDevice 302 creates a Distributed Content Management Service(dCMP)which provides a virtualized and distributed database system for applications to share application-specific or system-specific information with the pre-defined policies. Twelfth, the Switch Controller 504 function in the fxCloud 304 could take control of the controller function of the fxOS 302a in the fxDevice 302. This would allow controller switching from local to remote and back. Examples of such a configuration is a temporary reason where the fxOS Switch Controller 504 may not be available during reboot or software upgrade.
In the discussion below, these services and features are expanded upon.
The fxDevice 302 and fxCloud 304 have embedded System Applications categorized as fxDeviceApp-0 and fxCloudApp-0, respectively. ThefxDeviceApp-0 is responsible for all default and core functional capabilities of the fxDevice 302 as listed below:
The fxCloudApp-0 is responsible for all default and core functional capabilities of thefx:Cloud 304 such as:
Each software component can be managed and updated individually. To simplify the management of these software components, each software components can be sub-numbered such as fxDeviceApp-0.1, fxDeviceApp-0.2, fxCloudApp-0.1, fxCloudApp-0.2, etc.
The network administrator may use the fxManager 306 to control much of the dSDN system 300. The fxManager portal could use HTML5, for example, as a frontend technology. The major functions of the fx:Manager306 may include the following.
An fxManager Portal per the above description may have an “Account” button which can be used to create admin users and their privileges. The fxManager Portal could also include a geographical map illustrating locations of fxDevices and their status. The fx:Manager306 functions could be integrated into other network management tools. The fxManager 306 could potentially build the inventory of the network devices (fxDevices) showing all the available devices and statistics. As described above, the network administrator could optionally procure the applications a third party hosted application store (fxStore). The fxStore 308 could potentially categorize the applications several groups (as shown in
The flexible Software Development Kit (fxSDK) may include a development environment and other tools to facilitate development, testing, debugging and verifications of applications for dSDN environments. The fxSDK is unique in several aspects exemplified as follows. First, since the dSDN applications may have a device component (fxDevice 302) and cloud component (fxCloud 304), the fxSDK allows the developer to develop the components together to simplify the development and testing. Second, the dRMS offers various system level APIs with remote accessibility. In other words, the APIs in the fxDevice 302 could be accessed via the applications in the fxCloud (fxCloudApps) and vice versa. The fxSDK simplifies the usage system created APIs and application created APIs. Third, it is essential for the dSDN to ensure quality and security of applications in the network. The fxSDK may be accompanied with an extensive Risk Analysis Utility (RAU) which verifies all the APIs that are being used by the application and based on its potential danger to the network, it would show the risk analysis and may make specific suggestions to reduce the risk. Once completed, the risk analysis result is included in the dAP for posting to the fxStore and consumed by the fxManager user (the admin). Fourth, the fxSDK would also ensure that the applications do not exceed their planned memory and resource usage. Fifth, the Integrated Development Environment (IDE) may provide various tools to actively demonstrate errors, defined APIs, security dangers, and excessive resource usage. Sixth, the IDE could also provide a flexible Simulator (fxSimulator) for the developer test the application in a network setup in presence of other network elements.
The dSDN 300 offers flexible deployment options. In this section, a few exemplary embodiments are presented.
Another deployment option may be a Zoned Deployment as shown in
The dSDN framework could offer extensive services and capabilities that would simplify the programmability of the network. In this section below, a set of main procedures and services are presented as further exemplary embodiments.
The Application Provisioning Procedure enables provisioning and de provisioning of applications across the dSDN system. For simplicity, the term provisioning in this disclosure is used to present all similar procedures of provisioning and de-provisioning. The application provisioning procedures are usually triggered by the network administrator and are orchestrated by the fxManager, which works in collaboration with the fxDeviceApp-0 and fxCloudApp-0.
The Hot Upgrade refers to a procedure by which the software upgrades on the system have no or minimal implication on the functionalities offered by the software component subject to the upgrade process. Herein are presented two types of software upgrades. For simplicity, the use of the term upgraded in this disclosure represents both upgrade and downgrade since they both use identical processes. First, upgrade of applications on the fxDevice (i.e., fxDeviceApp) and fxCloud (i.e., fxCloudApp). Second, upgrade of core functions in the fxDevice (aka fxDeviceApp-0) or fxCloud (akafxCloudApp-0).
The upgrade procedures for fxDevice and fxCloud are similar. Here, the focus is on the fx:Device upgrade process since it is technically more challenging due to stricter resource limitations in the fx:Device.
The applications could be upgraded automatically or manually by the network admin. In either case, the installation of the upgrade follows a similar procedure as the Application Provisioning Procedure.
The fxDeviceApp-0 is a collection of software components that perform the core functionalities of the fx:Device. As a result, this hot upgrade is quite challenging. The most important thing is to ensure that major functionalities of the fxDevice (such as packet forwarding) remain intact during the upgrade process. The fxDeviceApp-0 upgrades may be categorized as:
As described earlier, the packet forwarding function could be broken into the Virtual Switch and the Switch Controller. In order to maintain, the packet forwarding function, the Switch Controller function could be performed by another device or a second processor in the same device while the fxDevice is being upgraded.
In this case, the packet forwarding process is mostly unavailable. Therefore, one potential solution might be for the fxDevice to redirect the entire bit stream to a neighboring fxDevice. In other words, the fxDevice would have just a bare minimum routing function working and the rest of the function would be performed by a neighboring fxDevice.
All the other upgrade procedures and state machines are similar to the ones performed for the No Kernel Upgrade process.
The Virtual Fabric (fxVF) provides an abstraction layer for application to communicate with each other whether they are in the fxDevice or fxCloud. Various frameworks and services may use the fx:VF service.
This is an example of where one application in the fxDevice communicates with the same instance of the app in another instance of the same application in another fxDevice. The actual messages could go directly between the fxDevice or via the fxCloud. As an example, in the case of mobile networks, this messaging could be used to transfer user specific context from one eNB to another as a user hands off to a new eNB. In LTE, Private Messages on X2 interface could be used for messaging between the eNBs that act as the fxDevices.
In some cases, different applications may need to communicate with each other via their published APIs. In this case, the security policies set up by the network administrator determines which applications could communicate with each other for what purpose. The fxVF follows the security policies determined by the network administrator for inter-application communications. distributed Resources Service (dRS)
The resources could be platform resources or APIs offered by the applications. The fxCloud and fx:Device resources could include (as examples):
An app (fxDeviceApp or fxCloudApp) could expose APIs to be used by the other apps. The inter-app communication is enabled by the fxVF where the policy and security provisions are enforced. The APIs exposed may be RESTful (representational state transfer) and could travel across physical network elements. Since the fx:Managerdefines fxVF policies, the administrator could ultimately specify which APIs between which apps could communicate with each other.
The distributed Content Service (dCS) allows the developers to seamlessly store and share the contents generated by one application with other applications and its associated application in the cloud. The dCS simplifies access to the data and brings in storage virtualization to the applications. In other words, the developers no longer would need to know where the data is actually stored (in the cloud or on the device) and would be able to access them easily. The dCS implementation may use Virtual Fabric (fxVF) and distributed Resources Service (dRS).
The distributed Notification Service (dNS) is another potential tool for developers that could wake or ping an application when a particular event has occurred. For example, a load monitoring application could be notified when the CPU load on a particular fxDevice (or a target area) exceeds a certain threshold. In turn, such an exemplary application could make smart decisions on reducing the load on the CPU by forcing handoffs of users to neighboring cells (i.e. fxDevices). The dCS implementation may use Virtual Fabric (fxVF), distributed Resources Service (dRS) and distributed Content Service (dCS).
In general, resources (compute, storage) at the cloud are more abundant. However, software licensing costs and other limitation may require smart management of resources. The Cloud Breathing, here, is defined as a mechanism where the cloud resources are automatically expanded as load increases on the system or reduced as the load decreases. This creates an automatic elasticity in the cloud dimensions.
The security aspects of this solution are of outmost importance in order to ensure quality in the product networks.
To create a security model, the dSDN network elements should have unique identities. The following identities may be defined:
For addressability purposes, the identities may be presented in a URI format using the FQDN of the NOIT.
The applications are given different access levels. The AL is used by the dRS to determine which APIs or class of APIs an application can access (e.g., a fxDeviceApp running on fxDevice should not be able normally to reboot the fxDevice). The required AL is generated by the fxSDK and included in the manifest files. It may also be published in the fxStore for that give application. A preset of ALs could be defined to categorize the applications security risks.
It is important for the target network element to verify the authenticity and integrity loaded software prior to install. The uniquely defined security keys of the application developers sign the applications. The following rules may be followed to ensure software securityverification:
Each fxDeviceApp is accompanied by a manifest that is generated by the Integrated Device Electronics (IDE) at the time of compilation of the fxDeviceApp. The manifest file specifies which libraries and frameworks the fxDeviceApp uses. The fx:Manager uses this information to determine the security risk of the fxDeviceApp as well as the required Access Level (AL) to run this fxDeviceApp. In order to ensure that manifest file is actually genuine manifestation of the fxDeviceApp and its integrity remains intact, a hashing algorithm could be used to generate a signature. An example is shown below:
The signature is generated by the IDE/fxSDK at the compile/build phase and is packaged with application binary and the manifest file. Once the distributed application package (dAP) is downloaded into the fxManager (Application Repository), the components of the signature, application binary, and manifest file are unpackaged. The fxManager then uses the same hashing algorithm to calculate the signature as above using the pre-shared key (K). If the calculated signature and the unpackaged signature match, it would prove the authenticity of the manifest file and the integrity of both manifest file and the fxDeviceApp.
Code Generation Process (Compilation):
Install Process(Consumption):
Security mechanisms built into the fxDeviceApp-0 and fxCloudApp-0 forces the fxDevice to only use the configured fxCloud servers for Software Security Verification, fxDeviceApp downloads, and fxDeviceApp-fxCloud communication. Optionally, the fxDeviceApp-fxCloud communication can be customized per application requirements. One implementation of this interface could use SPDY Protocol or per-application VPN.
For the purpose of inter-App communication, an Inter-App Communication (IAC) policy template is applied to an fxDeviceApp that defied the communication policies between the fxDeviceApps and fxCloudApps. The network administrator may use one of the pre-configured IAC policy templates (exemplified below):
The secure boot refers to a capability where the main boot code is in the fxCloud with the following exemplary procedure:
The following describes an example of the API Framework for the dSDN. Some APIs are purely local to the fxDevice or the fxCloud and some may be extended from the fxDevice all the way to the fxCloud using dRS.
This framework refers to general libraries and APIs inherited from the legacy OS. An example of the legacy OS may be Embedded Android®. This framework allows for general processing and may be used for algorithmic applications.
The Wireless Framework adds a set up functions related to managing and controlling the wireless module. Table 1 highlights some examples of methods/functions that may be available in the Wireless Framework.
The Security Framework allows the developers to use a specialized security functions/methods. Some of these new methods may use the legacy OS frameworks. Table 2 highlights some examples of methods/functions that may be available in the Security Framework.
The FastPath Framework allows the developers to identify and manipulate the data path with a DPI capability. Table 3 highlights some examples of methods/functions that may be available in the FastPath framework.
The Messaging Framework allows the developers to send messaging between the applications residing in the fxDevice and fxCloud. Table 4 highlights some examples of methods/functions that may be available in the Messaging Framework.
The Caching Framework allows the developers to cache particular contents or files that are accessed frequently in the caching engine. The caching can be done locally in the fxDevice, clustered cache (shared amongst a few fxDevice), or cloud caching. Table 5 highlights some examples of methods/functions that may be available in the Caching Framework.
The Management Framework enables the developers to manage the BS platforms and perform administrative procedures. Table 6 highlights some examples of methods/functions that may be available in the Management Framework.
This framework allows the developer to create custom APIs and make it accessible for other applications (in the fxDevice or in the fxCloud). In turn, the fxCloud could present these APIs using e.g. REST technologies (via the fxCloud Northbound Interface) to the developer outside the dSND system. There might be limits put on the APIs exposed through the cloud to avoid potential misuse or security threats. The dRS enforces the security policies defined by the admin (via fxManager). The applications take a role of Client Application (CA) or Server Application Role (SA). The CA and SA could be distributed in the fxDevice or fxCloud. The CA makes requests and SA serves the requests.
The Extensible APIs could be categorized (as examples)into:
The Cloud Management Framework presents a collection of methods enables management of the cloud services and resource. Table 7 highlights some examples of methods/functions that may be available in the Cloud Management Framework.
The dSDN create an end-to-end programming platform and the possibilities of vApps are only limited by the developers' imagination. An example list of potential vApps are presented in Table 8 below.
The following references are herein specifically incorporated by reference in their entirety into this disclosure:
The present invention claims priority from U.S. patent application Ser. No. 17/142,983, filed Jan. 6, 2021; U.S. Patent Appln. No. which claims priority to Ser. No. 16/900,963, filed on Jun. 14, 2020; which claims priority to U.S. patent application Ser. No. 15/836,824, filed on Dec. 9, 2017; which claims priority from U.S. patent application Ser. No. 14/295,331, filed Jun. 4, 2014; which claims priority from U.S. Provisional Patent Application Ser. No. 61/834,807, filed Jun. 13, 2013; all of these disclosures are herein specifically incorporated by reference in their entireties.
| Number | Name | Date | Kind |
|---|---|---|---|
| 7114021 | Seshadri | Sep 2006 | B2 |
| 7197553 | Roberts | Mar 2007 | B2 |
| 7630706 | Weigand | Dec 2009 | B2 |
| 8132166 | DeHaan | Mar 2012 | B2 |
| 8238256 | Nugent | Aug 2012 | B2 |
| 8352584 | Franklin | Jan 2013 | B2 |
| 8364959 | Bhanoo | Jan 2013 | B2 |
| 8473938 | Feeser | Jun 2013 | B1 |
| 8495611 | McCarthy | Jul 2013 | B2 |
| 8528108 | Ammer | Sep 2013 | B2 |
| 8650299 | Huang | Feb 2014 | B1 |
| 8745264 | Marr | Jun 2014 | B1 |
| 8756595 | Arcilla | Jun 2014 | B2 |
| 8762501 | Kempf | Jun 2014 | B2 |
| 8843933 | Holler | Sep 2014 | B1 |
| 8880701 | Shin | Nov 2014 | B2 |
| 9137116 | Rijsman | Sep 2015 | B1 |
| 9160717 | Bhanoo | Oct 2015 | B2 |
| 9226333 | Steiner | Dec 2015 | B2 |
| 10263803 | Ansari | Apr 2019 | B2 |
| 20020016954 | Charisius | Feb 2002 | A1 |
| 20040107417 | Chia | Jun 2004 | A1 |
| 20040237081 | Homiller | Nov 2004 | A1 |
| 20050246703 | Ahonen | Nov 2005 | A1 |
| 20060271341 | Brown | Nov 2006 | A1 |
| 20070078988 | Miloushev | Apr 2007 | A1 |
| 20080209491 | Hasek | Aug 2008 | A1 |
| 20090007091 | Appian | Jan 2009 | A1 |
| 20090113327 | Pogrebinsky | Apr 2009 | A1 |
| 20090138577 | Casado | May 2009 | A1 |
| 20090276771 | Nickolov | Nov 2009 | A1 |
| 20090282404 | Khandekar | Nov 2009 | A1 |
| 20090300057 | Friedman | Dec 2009 | A1 |
| 20100299437 | Moore | Nov 2010 | A1 |
| 20110075611 | Choi | Mar 2011 | A1 |
| 20110239039 | Dieffenbach | Sep 2011 | A1 |
| 20110246899 | Kwon | Oct 2011 | A1 |
| 20110265077 | Collison | Oct 2011 | A1 |
| 20120066665 | Kunze | Mar 2012 | A1 |
| 20120096071 | Murphey | Apr 2012 | A1 |
| 20120102186 | Rewaskar | Apr 2012 | A1 |
| 20120266156 | Spivak | Oct 2012 | A1 |
| 20120300615 | Kempf | Nov 2012 | A1 |
| 20120324069 | Nori | Dec 2012 | A1 |
| 20130007254 | Fries | Jan 2013 | A1 |
| 20130054763 | Van der Merwe | Feb 2013 | A1 |
| 20130160147 | Draluk | Jun 2013 | A1 |
| 20130223442 | Narayanan | Aug 2013 | A1 |
| 20130263104 | Basel | Oct 2013 | A1 |
| 20140052976 | Marino | Feb 2014 | A1 |
| 20140082156 | Jagtap | Mar 2014 | A1 |
| 20140204746 | Sun | Jul 2014 | A1 |
| 20140241158 | Anthony, Jr. | Aug 2014 | A1 |
| 20140254373 | Varma | Sep 2014 | A1 |
| 20140259012 | Nandlall | Sep 2014 | A1 |
| 20140313928 | Fernando | Oct 2014 | A1 |
| 20140317293 | Shatzkamer | Oct 2014 | A1 |
| 20140341029 | Allan | Nov 2014 | A1 |
| 20140351428 | Madani | Nov 2014 | A1 |
| 20150071053 | Kempf | Mar 2015 | A1 |
| 20150156122 | Singh | Jun 2015 | A1 |
| 20150160877 | Larkin | Jun 2015 | A1 |
| 20150173121 | Miklos | Jun 2015 | A1 |
| 20150242237 | Spivak | Aug 2015 | A1 |
| 20160080253 | Wang | Mar 2016 | A1 |
| 20160224460 | Bryant | Aug 2016 | A1 |
| 20170257432 | Fu | Sep 2017 | A1 |
| 20180309747 | Sweet | Oct 2018 | A1 |
| 20190165997 | Shaikh | May 2019 | A1 |
| Entry |
|---|
| McKeown, et al. “OpenFlow: Enabling Innovation in Campus Networks”, Mar. 14, 2008. |
| Li et al. “Toward Software-Defined Cellular Networks”, “2012 European Workshop on Software Defined Networking”. |
| “Network Functions Virtualisation”, “SDN and OpenFlow World Congress”, Darmstadt-Germany, Oct. 22-24, 2012. |
| Yap et al., “OpenRoads: Empowering Research in Mobile Networks”, ACM SIGCOMM Computer Communication Review, 2010. |
| Bansal et al., “OpenRadio: A Programmable Wireless Dataplane”, HotSDN'12, Aug. 13, 2012, Helsinki, Finland. |
| Stallings et al., “Software-Defined Networks and OpenFlow”, The Internet Protocol Journal, vol. 16, No. 1, Mar. 2013. |
| Luo et al., “Software Defined Networking across Distributed Datacenters over Cloud”, IEEE Int. Conference on Cloud Computing Tech, 2013. |
| Chappell, David, “A Short Introduction to Cloud Platforms”, Aug. 2008. |
| Number | Date | Country | |
|---|---|---|---|
| 61834807 | Jun 2013 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17142983 | Jan 2021 | US |
| Child | 18217332 | US | |
| Parent | 16900963 | Jun 2020 | US |
| Child | 17142983 | US | |
| Parent | 15836824 | Dec 2017 | US |
| Child | 16900963 | US | |
| Parent | 14295331 | Jun 2014 | US |
| Child | 15836824 | US |
