WO2021190482A1

WO2021190482A1 - Computing power processing network system and computing power processing method

Info

Publication number: WO2021190482A1
Application number: PCT/CN2021/082304
Authority: WO
Inventors: 姚惠娟; 耿亮; 杜宗鹏; 张晓秋
Original assignee: 中国移动通信有限公司研究院; 中国移动通信集团有限公司
Priority date: 2020-03-27
Filing date: 2021-03-23
Publication date: 2021-09-30
Also published as: CN113448721A

Abstract

Provided in embodiments of the present disclosure are a computing power processing network system and a computing power processing method. The system comprises a first processing layer, a second processing layer and a third processing layer. The first processing layer is used to acquire a service request for a service. The second processing layer is used to acquire a computing power allocation policy at least according to the service request. The third processing layer is used to select a corresponding network path according to the computing power allocation policy, and to schedule the service to a corresponding computing power network element node for processing.

Description

Computing power processing network system and computing power processing method

Cross-references to related applications

This application claims the priority of Chinese Patent Application No. 202010232182.0 filed in China on March 27, 2020, the entire content of which is incorporated herein by reference.

Technical field

The present disclosure relates to the field of communication technology, in particular to a computing power processing network system and computing power processing method, or to a computing power perception network or computing power network.

Background technique

Under the general development trend of cloud computing and edge computing, in the future society, there will be many different scales of computing power at different distances close to users, and various personalized services will be provided to users through global networks. From tens of billions of smart terminals, to global billions of home gateways, to thousands of edge clouds with computing capabilities brought about by future edge computing in each city, and dozens of large-scale edge clouds in each country. The cloud data center DC forms a massive ubiquitous computing power to connect to the Internet from everywhere, forming a development trend of deep integration of computing and networks. The computing resources in the network are integrated into all corners of the network, so that each network node can become a resource provider. The user's request can be satisfied by calling the nearest node resource, and it is no longer limited to a specific node to avoid connecting And the waste of network scheduling resources. However, traditional networks only provide channels for data communication, based on connections, subject to fixed network addressing mechanisms, and are often unable to meet the higher and more stringent QoE requirements. In addition, with the development of microservices, the traditional client-server model is deconstructed, and the application deconstruction function components on the server side are deployed on the cloud platform, and they are uniformly scheduled by the API gateway, which can be implemented on demand With dynamic instantiation, the business logic in the server is transferred to the client side, and the client only needs to care about the computing function itself, and does not need to care about the computing resources such as the server, virtual machine, container, etc., so as to realize the service function.

Therefore, the new-generation network architecture facing the future network needs to consider the needs of network and computing integration evolution to realize the global optimization of the network in the ubiquitous connection and computing power architecture, the flexible scheduling of computing power, and the reasonable distribution of services; however, traditional networks cannot Realize the allocation of computing resources.

Summary of the invention

The purpose of the embodiments of the present disclosure is to provide a computing power processing network system and computing power processing method, so as to solve the problem that the network in the related technology cannot realize the computing power resource allocation.

In order to solve the foregoing problems, embodiments of the present disclosure provide a computing power processing network system, including:

The first processing layer, the second processing layer, and the third processing layer;

Wherein, the first processing layer is used to obtain a service request for a business, and send the service request to the second processing layer;

The second processing layer is configured to obtain a computing power configuration strategy at least according to the service request, and send the computing power configuration strategy to the third processing layer;

The third processing layer is used to select a corresponding network path at least according to the computing power configuration strategy, and dispatch the service to the corresponding computing power network element node for processing;

Wherein, the third processing layer is also used for:

Obtain network resource information;

At least the corresponding network path is selected according to the computing power configuration strategy and the network resource information, and the service is scheduled to the corresponding computing power network element node for processing.

Wherein, the network system for computing power processing further includes: a fourth processing layer;

The fourth processing layer is used to obtain the state information of the computing power resource of the computing power network element node, and send the state information of the computing power resource to the second processing layer;

The second processing layer obtains the computing power configuration strategy at least according to the service request and the computing power resource status information.

Wherein, the second processing layer is also used for:

Abstract description and representation of the state information of the computing power resources to generate a computing power capability template;

Generate a computing power service contract at least according to the computing power capability template and the service request.

Wherein, the second processing layer is also used for:

Send the computing power capability template and/or the computing power service contract to the corresponding computing power network element node.

Wherein, the second processing layer is also used for:

Perform performance monitoring of the computing power resource status information of the computing power network element node, and send at least one of the computing power resource performance, computing power billing management information, and computing power resource failure information to the corresponding computing power network element node .

Wherein, the computing resource status information includes at least one of the following:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.

Wherein, the fourth processing layer sending the computing resource state information to the second processing layer includes:

The second processing layer sends a computing power measurement request message to the fourth processing layer, and receives a computing power status information response message fed back by the fourth processing layer, and the computing power status information response message carries a computing power network. The state information of the computing resources of the meta node.

The fourth processing layer periodically or non-periodically reports the state information of the computing power resources of the computing power network element node to the second processing layer.

Wherein, the computing power measurement request message includes at least one of the following:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.

Wherein, the second processing layer carries the computing power measurement request message through operation and maintenance management OAM telemetry information.

The embodiment of the present disclosure also provides a computing power processing method, which is applied to a computing power processing network system, including:

Service request for obtaining business;

Obtaining a computing power allocation strategy at least according to the service request mapping;

At least the corresponding network path is selected according to the computing power configuration strategy, and the service is scheduled to the corresponding computing power network element node for processing.

Wherein, the method further includes:

Obtain network resource information;

Wherein, the method further includes:

Obtain the state information of the computing power resources of the node of the computing power network element;

Obtain the computing power allocation strategy at least according to the service request and the computing power resource status information.

Wherein, the method further includes:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.

The embodiments of the present disclosure also provide a network system for computing power processing, including a memory, a processor, and a program stored on the memory and capable of running on the processor. When the processor executes the program, the implementation is as described above. The described computing power processing method.

The embodiments of the present disclosure also provide a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps in the computing power processing method described above are realized.

The above technical solutions of the present disclosure have at least the following beneficial effects:

The computing power processing network system and computing power processing method of the embodiments of the present disclosure interconnect dynamically distributed computing resources based on ubiquitous network connections. Through the unified coordinated scheduling of multi-dimensional resources such as network, storage, and computing power, massive The business can call computing resources in different places in real time on demand, realize the global optimization of connection and computing power in the network, and provide a consistent user experience.

Description of the drawings

FIG. 1 shows a schematic structural diagram of a network system for computing power processing provided by an embodiment of the present disclosure;

FIG. 2 shows a schematic diagram of obtaining state information of computing power resources in a network system for computing power processing provided by an embodiment of the present disclosure;

3 shows an example diagram of OAM telemetry information in a network system for computing power processing provided by an embodiment of the present disclosure;

FIG. 4 shows a flowchart of the steps of a computing power processing method provided by an embodiment of the present disclosure.

Detailed ways

In order to make the technical problems, technical solutions, and advantages to be solved by the present disclosure clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

As shown in FIG. 1, an embodiment of the present disclosure provides a network system for computing power processing, including:

The first processing layer (also called the computing power service layer), the second processing layer (also called the computing power platform layer), and the third processing layer (also called the computing power routing layer);

The second processing layer is used to obtain a computing power configuration strategy at least according to the service request, and send the computing power configuration strategy to the third processing layer; for example, the service request includes a service ID, a service type, and a service level , Time delay and other parameters. Mapping is the corresponding computing power configuration strategy: CPU/GPU resource configuration requirements, storage configuration requirements, etc.

The third processing layer is used to select the corresponding network path at least according to the computing power configuration strategy, and dispatch the service to the corresponding computing power network element node for processing.

Wherein, the third processing layer is also used for:

Obtain network resource information;

It should be noted that the third processing layer can periodically or dynamically obtain the above network resource information from the network resource layer in Figure 1, or the network resource layer actively reports the network resource information, so that the third processing layer can be configured according to the computing power The strategy and current network resource information select the corresponding network path, and dispatch the service to the corresponding computing power network element node for processing. Among them, the current network resource information can be understood as the latest network resource information obtained by the third processing layer, or the latest network resource information reported by the network resource layer.

Optionally, the network path selected by the third processing layer is the current optimal network path, and its scheduled computing power network element node is the current optimal computing power network element node, which is not specifically limited here.

Among them, the computing power network element node refers to a network device with computing power; it can further include a computing power routing node (located at the computing power routing layer, responsible for the notification and transmission of computing resource information in the network, and can be computing power aware Capable router devices) and computing nodes (devices with only computing capabilities, which are equivalent to devices that process computing tasks in the network, such as server devices in data centers).

In the embodiment of the present disclosure, the computing power network element node is a network node set at the network resource layer as shown in FIG. 1. Among them, the network resource layer is used to provide network infrastructure for information transmission, including access networks, metropolitan area networks, and backbone networks.

It should be noted that the computing power processing network system provided in the foregoing embodiments of the present disclosure may also be referred to as a computing network fusion-oriented system, computing power perception network system, or computing power network system, etc., which are not specifically limited here.

In order to realize the perception, interconnection and coordinated scheduling of ubiquitous computing and services, the network oriented to the integration of computing networks is logically divided into a first processing layer, a second processing layer, and a third processing layer. It should be noted that in the embodiments of the present disclosure, the first processing layer, the second processing layer, and the third processing layer are divided according to logical functions. In actual deployment, the above-mentioned processing layers can be deployed on one device or On multiple devices; if deployed on one device, each processing layer can transmit information through internal interfaces; if deployed on multiple devices, each processing layer can achieve information transmission through signaling interaction. Optionally, the embodiments of the present disclosure do not limit the specific names of the first processing layer, the second processing layer, and the third processing layer, and the names of all layers capable of realizing their corresponding functions are applicable to the embodiments of the present disclosure. For example, the second processing layer may also be referred to as the computing power platform layer, computing power management equipment, computing power management node, computing power management layer, etc., which will not be enumerated here.

The system for computing network integration provided by the embodiments of the present disclosure is based on the ubiquitous computing power resources of the network. The computing power platform layer completes the abstraction, modeling, control and management of computing power resources, and notifies the computing power routing layer. The computing power routing layer comprehensively considers user needs, network resource status, and computing power resource status, and dispatches services to appropriate computing power network element nodes to achieve optimal resource utilization and ensure the ultimate user experience.

In the embodiments of the present disclosure, there are at least two methods for scheduling services to the corresponding computing power network element nodes:

Method 1: Computing power resource scheduling (that is, selecting the corresponding network path according to the computing power configuration strategy, and dispatching the service to the corresponding computing power network element node for processing), which can match the business and computing power to schedule the service Appropriate computing nodes for business processing. That is to say, scheduling based on computing power can realize finding the best purpose to serve computing nodes.

Method 2: Computing power resource scheduling + network resource scheduling (that is, selecting the corresponding network path according to the computing power configuration strategy and network resource information, and scheduling the service to the corresponding computing power network element node for processing); combination of computing power resource scheduling The scheduling of the existing network resource information in the network (for example, the network resource information includes: bandwidth, delay, delay jitter, etc.); among them, the computing power resource scheduling realizes the scheduling of the business to the appropriate computing power node, and the network resource scheduling can be realized Find the optimal network path of the target service computing node. That is, network-based scheduling + computing power scheduling (joint computing power resource scheduling and network resources), through the best network path, and the best computing power business processing, to provide the best user experience.

As shown in Figure 1, the computing power service layer supports application deconstruction into atomized functional components and an algorithm library, which is uniformly scheduled by the API gateway to realize the on-demand instantiation of atomized algorithms in ubiquitous computing resources. Through the I1 interface, the computing power service layer transfers the service request of the business or application to the computing power platform layer.

The computing power platform layer needs to complete the perception, measurement and OAM management of computing power resources to support the perceivable, measurable, manageable and controllable computing power resources of the network, which is conducive to the realization of the joint scheduling of computing networks and improves the network performance of operators. Resource interest rate.

The computing power routing layer, based on the abstracted computing resource discovery, comprehensively considers the network status and computing resource status, and dispatches services to different computing power network element nodes flexibly on demand. Specific functions mainly include computing power routing identification, computing power routing control, computing power status network notification, computing power routing addressing, computing power routing forwarding, etc.

As an optional embodiment, the network system for computing power processing further includes: a fourth processing layer (also referred to as a computing power resource layer);

For heterogeneous computing resources deployed ubiquitously on the network, the fourth processing layer is used to obtain computing resource status information of a computing power network element node, and send the computing resource status information to the second processing layer;

Among them, the computing power resource status information is used to reflect the ubiquitous deployment computing power status and deployment location information in the network. It can refer to the number of service connections, CPU/GPU computing power, deployment form (physical, virtual), deployment location (corresponding Capabilities such as IP address), storage capacity, storage form, etc., can also refer to computing power abstracted based on the above-mentioned basic computing resources, which are used to reflect the currently available computing power and distribution location and form of each node of the network.

Similarly, the fourth processing layer is also divided according to logical functions. In actual deployment, each of the above-mentioned first processing, second, third, and fourth processing layers can be deployed on one device or multiple If deployed on one device, each processing layer can transmit information through internal interfaces; if deployed on multiple devices, each processing layer can achieve information transmission through signaling interaction.

In order to meet the diverse computing needs in the field of edge computing, for different applications, from single-core CPU (central processing unit) to multi-core CPU, to CPU + GPU (image processor) + FPGA (field programmable logic gate array), etc. The combination of computing power restores Moore's Law at the system level and promotes computing innovation. In the face of multiple heterogeneous computing resources distributed in the network, the fourth processing layer needs to collect and report the state information of computing power resources.

As another optional embodiment, the second processing layer (that is, the computing power platform layer) is also used for:

In the face of heterogeneous computing resources, as shown in Figure 1, the computing power platform layer includes the “computing power modeling” sub-module. The module forms the corresponding computing power template through information such as general algorithm or idiom requirements. A number of computing power capability templates and business service requests are combined into a computing power service contract to meet the computing power demand of the business.

It should be noted that the “at least based on” mentioned in the above-mentioned embodiments of the present disclosure can be understood as: in order to make the obtained results accurate, those skilled in the art can refer to other computing power related methods based on common methods in this field. The other parameters to get better parameters, we will not enumerate one by one here.

Further, in the above-mentioned embodiment of the present disclosure, the second processing layer (that is, the computing power platform layer) is also used for:

Send the computing power capability template and/or the computing power service contract to the corresponding computing power network element node. For example, the second processing layer first sends the computing power template and/or the computing power service contract to the third processing layer, and the third processing layer forwards it to the corresponding computing power network element node, or the second processing layer It is directly sent to the node of the computing power network element, and its specific sending path is not limited here.

Optionally, the computing power template is mainly used for the unification of some request information modes between the computing power processing network system and the user equipment. The template converts the service request into information conforming to the system processing format for subsequent processing; or, after the user equipment receives the computing power template (which can be obtained through the computing power network element node), before sending the service request, pass the computing power first The template converts the relevant information of the service request into information that conforms to the system processing format, which facilitates the subsequent processing of the system and reduces the processing burden of the system.

Optionally, the computing power service contract is mainly used to generate the corresponding computing power service contract based on the user's contract information. Once the user's business comes in, the network needs to provide the corresponding computing power service according to the computing power service contract. In addition, after the user equipment learns the computing power service contract, it can learn which computing power network element node it can communicate with, charging rules, etc., which is not specifically limited here.

As shown in Figure 1, the computing power platform layer includes the "power notification" sub-module. The "power notification" sub-module is responsible for abstracting the actually deployed computing power resources through the computing power template, together with information such as computing power service contracts. , Notify the corresponding computing power network element node. This sub-module includes sub-function modules such as notification of computing power service contracts, notification of computing power capabilities, and notification of computing power status. Announcement of computing power service contract refers to generating computing power service demand based on the service request of the computing power service layer, and notifying the corresponding computing power network element node. Announcement of computing power refers to the fact that the actual deployed computing resources are abstractly expressed through computing power templates and then notified to the corresponding computing power network element nodes. The computing power status notification informs the real-time status of computing power resources to the corresponding network nodes through the I4 interface.

Further, the second processing layer is also used for:

As shown in Figure 1, the second processing layer (that is, the computing power platform layer) includes the "computing power OAM" sub-module, which includes the computing power performance monitoring of the computing power resource layer, computing power billing management, and computing power resources Fault management. In other words, the computing power OAM submodule mainly contains the real-time status of computing power network element nodes, including capacity expansion, capacity reduction, and fault status. Based on this information, the computing power platform layer can update the current available computing power status in time on the one hand, and on the other Some operations of failure recovery can be performed: for example, the computing power platform layer, sending some operation instructions such as restarting, configuration, etc., to recover and deal with the failure.

As an optional embodiment, the computing resource status information includes at least one of the following:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.

As another optional embodiment, the fourth processing layer sending the computing resource state information to the second processing layer includes:

For example, as shown in Figure 2, in actual deployment, the second processing layer is deployed on the computing power management device, and the fourth processing layer is deployed on the computing power node device. The computing power management device actively sends the computing power to the computing power node device. In a measurement request message, the computing power node device sends a computing power status information response message to the computing power management device according to the computing power measurement request message.

Alternatively, the fourth processing layer sending the computing resource state information to the second processing layer includes:

Optionally, the computing power measurement request message includes at least one of the following:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.

Wherein, the second processing layer carries the computing power measurement request message through the telemetry (Telemetry) information of the operation and maintenance management OAM, so as to realize the computing power sensing workflow.

For example, as shown in Figure 3, use the unused bits (bits) in OAM telemetry information (such as OAM-trace-type): bit4-7;

Bit 7: The bit defined as whether the computing power perception function is enabled or not.

Bit 4: Defined as the bit of the hashrate measurement request/response to the hashrate status information.

Bit 5: Defined as the bit of the hashrate measurement request/response to the hashrate status information.

For another example, a node data list (Node data list) is used as a variable-length list to carry state information such as the computing power resources and network resources of the own computing power network element node. Among them, computing resources refer to the supply capabilities of servers, processing, storage, storage devices, virtual machines, etc. Network resources include network bandwidth, delay, jitter and other requirements.

The system for computing network integration provided in the embodiments of the present disclosure not only defines functional modules such as a computing power resource layer, a computing power platform layer, and a computing power routing layer, but also defines interfaces between some functional modules. As shown in Figure 1:

I1 interface: The interface defined between the computing power service layer and the computing power platform layer, used to transfer SLA (Service Level Agreement) requirements, computing power service deployment configuration information, etc.

I2 interface: used for computing power modeling sub-module to transfer computing power service contract, computing power capability template and other information to computing power notification sub-module.

I3 interface: used for the computing power OAM sub-module to transfer computing power resource performance monitoring, computing power billing management, computing power resource failure and other information to the computing power notification sub-module.

I4 interface: used for the computing power platform layer to transfer computing power service contract information and computing power resource status notifications to the computing power routing layer.

I5 interface: refers to the interface between the computing power resource layer and the computing power platform layer, which is mainly used for computing power resource registration management, computing power resource performance status and fault information transmission, etc.

In summary, the system for computing network convergence provided by the embodiments of the present disclosure is a new type of network architecture, based on ubiquitous network connections, based on highly distributed computing nodes, through automated deployment of services, optimal routing, and load balancing. , Build a new network infrastructure with computing power perception, truly realize the network is omnipresent, computing power is everywhere, and intelligence is omnipresent. Massive applications, massive functional functions, and massive computing resources form an open ecology. Among them, massive applications can call computing resources in different places in real time on demand, improve computing resource utilization efficiency, and ultimately achieve the optimization of user experience and computing resource utilization. Optimized and optimized network efficiency.

As shown in FIG. 4, an embodiment of the present disclosure also provides a computing power processing method, which is applied to a computing power processing network system, including:

Step 41: Obtain the service request of the business;

Step 42: Obtain a computing power configuration strategy at least according to the service request mapping; for example, the service request includes parameters such as service ID, service type, service level, and delay. Mapping is the corresponding computing power configuration strategy: CPU/GPU resource configuration requirements, storage configuration requirements, etc.

Step 43: Select the corresponding network path at least according to the computing power configuration strategy, and dispatch the service to the corresponding computing power network element node for processing.

Optionally, the method further includes:

Obtain network resource information;

Optionally, the computing power processing method is applied to the computing power processing network system as shown in Figures 1-3, and the execution subjects of the above-mentioned

steps

41, 42 and 43 may be each of the above computing power processing network systems. The corresponding processing layer, for example, step 41 is executed by the first processing layer, step 42 is executed by the second processing layer, and step 43 is executed by the third processing layer.

It should be noted that the above-mentioned first processing layer, second processing layer, and third processing layer are divided according to logical functions. In actual deployment, each of the above-mentioned processing layers can be deployed on one device or multiple devices. ; If it is deployed on one device, information can be transmitted between each processing layer through internal interfaces; if it is deployed on multiple devices, information can be transmitted between each processing layer through signaling interaction. Optionally, the embodiments of the present disclosure do not limit the specific names of the first processing layer, the second processing layer, and the third processing layer, and the names of all layers capable of realizing their corresponding functions are applicable to the embodiments of the present disclosure.

As an optional embodiment, the method further includes:

For heterogeneous computing resources deployed ubiquitously on the network, the computing power processing network system in the embodiments of the present disclosure further includes: a fourth processing layer (also referred to as a computing power resource layer), and the fourth processing layer is used to implement computing power Collection and reporting of resource status information (reported to the second processing layer). The second processing layer abstractly describes and expresses the state information of the computing power resources to generate a computing power capability template; and generates a computing power service contract according to the computing power capability template and the service request of the business.

As yet another optional embodiment, the method further includes:

Send the computing power capability template and/or the computing power service contract to the corresponding computing power network element node. For example, sending the computing power template and/or the computing power service contract to a third processing layer, and the third processing layer sends the computing power template and/or the computing power service contract to Corresponding computing power network element node.

Further, the method further includes:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.

In summary, the computing power processing method provided by the embodiments of the present disclosure is based on ubiquitous network connections, based on highly distributed computing nodes, through automated deployment of services, optimal routing, and load balancing, to build a new computing power-aware network The infrastructure truly realizes the ubiquity of the network, the ubiquity of computing power, and the ubiquity of intelligence. Massive applications, massive functional functions, and massive computing resources form an open ecology. Among them, massive applications can call computing resources in different places in real time on demand, improve computing resource utilization efficiency, and ultimately achieve the optimization of user experience and computing resource utilization. Optimized and optimized network efficiency.

The embodiment of the present disclosure also provides a network system for computing power processing, including a memory, a processor, and a computer program stored on the memory and running on the processor. The processor executes the program when the program is executed. The various processes in the embodiment of the computing power processing method described above can achieve the same technical effect. In order to avoid repetition, it will not be repeated here.

The embodiment of the present disclosure also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the various processes in the foregoing embodiment of the computing power processing method are realized, and the same technology can be achieved. The effect, in order to avoid repetition, will not be repeated here. Wherein, the computer-readable storage medium, such as read-only memory (Read-Only Memory, ROM for short), random access memory (Random Access Memory, RAM for short), magnetic disk, or optical disk, etc.

Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, this application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this application may adopt the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, optical storage, etc.) containing computer-usable program codes.

This application is described with reference to flowcharts and/or block diagrams of methods, equipment (systems) and computer program products according to the embodiments of this application. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing equipment to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing equipment are generated for use. It is a device that realizes the functions specified in one process or multiple processes and/or one block or multiple blocks in the flowchart.

These computer program instructions can also be stored in a computer-readable storage medium that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable storage medium produce paper products that include the instruction device, The instruction device realizes the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that the computer or other programmable equipment executes a series of operation steps to produce computer-implemented processing, thereby executing instructions on the computer or other scientific programming equipment Provides steps for realizing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

It should be noted that it should be understood that the division of each of the above modules is only a division of logical functions, and may be fully or partially integrated into a physical entity in actual implementation, or may be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be implemented in the form of hardware; some modules can be implemented in the form of calling software by processing elements, and some of the modules can be implemented in the form of hardware. For example, the determining module may be a separately established processing element, or it may be integrated in a chip of the above-mentioned device for implementation. In addition, it may also be stored in the memory of the above-mentioned device in the form of program code, which is determined by a certain processing element of the above-mentioned device. Call and execute the functions of the above-identified module. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together or implemented independently. The processing element described here may be an integrated circuit with signal processing capability. In the implementation process, each step of the above method or each of the above modules can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

For example, each module, unit, sub-unit or sub-module may be one or more integrated circuits configured to implement the above method, for example: one or more application specific integrated circuits (ASIC), or one or Multiple microprocessors (digital signal processor, DSP), or one or more field programmable gate arrays (Field Programmable Gate Array, FPGA), etc. For another example, when one of the above modules is implemented in the form of processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processors that can call program codes. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

The terms "first", "second", etc. in the specification and claims of the present disclosure are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure described herein are, for example, implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations of them are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those clearly listed. Those steps or units may include other steps or units that are not clearly listed or are inherent to these processes, methods, products, or equipment. In addition, the use of "and/or" in the description and claims means at least one of the connected objects, such as A and/or B and/or C, which means that it includes A alone, B alone, C alone, and both A and B. Exist, B and C exist, A and C exist, and A, B, and C all exist in 7 situations. Similarly, the use of "at least one of A and B" in this specification and claims should be understood as "A alone, B alone, or both A and B exist".

The above are optional implementations of the present disclosure. It should be pointed out that for those of ordinary skill in the art, without departing from the principles described in the present disclosure, several improvements and modifications can be made. These improvements and Retouching should also be regarded as the protection scope of this disclosure.

Claims

A network system for computing power processing, including:

The first processing layer, the second processing layer, and the third processing layer;

Wherein, the first processing layer is used to obtain a service request for a business, and send the service request to the second processing layer;

The second processing layer is configured to obtain a computing power configuration strategy at least according to the service request, and send the computing power configuration strategy to the third processing layer;

The third processing layer is used to select the corresponding network path at least according to the computing power configuration strategy, and dispatch the service to the corresponding computing power network element node for processing.
The method according to claim 1, wherein the third processing layer is further used for:

Obtain network resource information;

At least the corresponding network path is selected according to the computing power configuration strategy and the network resource information, and the service is scheduled to the corresponding computing power network element node for processing.
The system according to claim 1 or 2, further comprising: a fourth processing layer;

The fourth processing layer is used to obtain the state information of the computing power resource of the computing power network element node, and send the state information of the computing power resource to the second processing layer;

The second processing layer obtains the computing power configuration strategy at least according to the service request and the computing power resource status information.
The system according to claim 3, wherein the second processing layer is also used for:

Abstract description and representation of the state information of the computing power resources to generate a computing power capability template;

Generate a computing power service contract at least according to the computing power capability template and the service request.
The system according to claim 4, wherein the second processing layer is also used for:

Send the computing power capability template and/or the computing power service contract to the corresponding computing power network element node.
The system according to claim 3, wherein the second processing layer is also used for:

Perform performance monitoring of the computing power resource status information of the computing power network element node, and send at least one of the computing power resource performance, computing power billing management information, and computing power resource failure information to the corresponding computing power network element node .
The system according to claim 3, wherein the state information of the computing power resources includes at least one of the following:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.
The system according to claim 3, wherein the fourth processing layer sending the computing resource status information to the second processing layer comprises:

The second processing layer sends a computing power measurement request message to the fourth processing layer, and receives a computing power status information response message fed back by the fourth processing layer, and the computing power status information response message carries a computing power network. The state information of the computing resources of the meta node.
The system according to claim 3, wherein the fourth processing layer sending the computing resource status information to the second processing layer comprises:

The fourth processing layer periodically or non-periodically reports the state information of the computing power resources of the computing power network element node to the second processing layer.
The system according to claim 8, wherein the computing power measurement request message includes at least one of the following:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.
8. The system according to claim 8, wherein the second processing layer carries the computing power measurement request message through operation and maintenance management OAM telemetry information.
A computing power processing method applied to a network system for computing power processing, including:

Service request for obtaining business;

Obtaining a computing power allocation strategy at least according to the service request mapping;

At least the corresponding network path is selected according to the computing power configuration strategy, and the service is scheduled to the corresponding computing power network element node for processing.
The method according to claim 12, further comprising:

Obtain network resource information;

At least the corresponding network path is selected according to the computing power configuration strategy and the network resource information, and the service is scheduled to the corresponding computing power network element node for processing.
The method according to claim 12 or 13, further comprising:

Obtain the state information of the computing power resources of the node of the computing power network element;

Obtain the computing power allocation strategy at least according to the service request and the computing power resource status information.
The method according to claim 14, further comprising:

Abstract description and representation of the state information of the computing power resources to generate a computing power capability template;

Generate a computing power service contract at least according to the computing power capability template and the service request.
The method according to claim 14, further comprising:

Send the computing power capability template and/or the computing power service contract to the corresponding computing power network element node.
The method according to claim 14, further comprising:

Perform performance monitoring of the computing power resource status information of the computing power network element node, and send at least one of the computing power resource performance, computing power billing management information, and computing power resource failure information to the corresponding computing power network element node .
The method according to claim 14, wherein the state information of the computing power resources includes at least one of the following:

Service ID;

Information of the central processing unit CPU;

Number of service links;

Memory information;

Information of the image processor GPU;

Hard disk information.
A network system for computing power processing, comprising a memory, a processor, and a program stored on the memory and capable of running on the processor; when the processor executes the program, it implements any of claims 12-18 The calculation method described in one item.
A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the computing power processing method according to any one of claims 12-18.