CN115002862A

CN115002862A - Network system for computing power processing, service processing method and computing power network element node

Info

Publication number: CN115002862A
Application number: CN202110230865.7A
Authority: CN
Inventors: 姚惠娟; 孙滔; 付月霞
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Priority date: 2021-03-02
Filing date: 2021-03-02
Publication date: 2022-09-02
Also published as: WO2022184094A1

Abstract

The invention provides a computing power processing network system, a service processing method and a computing power network element node. The network system includes: and the first processing layer is used for acquiring the resource perception information and determining the calculation routing information of the service request according to the resource perception information. By adopting the method, the network can be ensured to schedule the computing resources at different positions in real time as required, the unified cooperative scheduling of multi-dimensional resources such as users, networks, computing power and the like is realized, and the network can be ensured to schedule the computing resources at different positions in real time as required.

Description

Network system for computing power processing, service processing method and computing power network element node

Technical Field

The present invention relates to the field of data communication networks, and in particular, to a computing power processing network system, a service processing method, and a computing power network element node.

Background

Under the development trend of cloud computing and edge computing, computing power of many different scales can be distributed at different distances close to users in future society, and various personalized services are provided for the users through a global network. From a billion-magnitude intelligent terminal, to a billion-magnitude home gateway all over the world, to thousands of edge clouds with computing capability brought by future edge computing in each city, and to dozens of large cloud data centers DC in each country, a huge amount of ubiquitous computing power is formed, and the development trend of computing and network deep fusion is formed.

Computing resources in the network are integrated into each corner of the network, so that each network node can become a resource provider, and a user request can be satisfied by calling the nearest node resource and is not limited to a specific node, thereby avoiding waste of connection and network scheduling resources. However, the conventional network only provides a data communication pipe, is based on connection, is subject to a fixed network addressing mechanism, and often cannot meet the requirements of higher and more rigorous Quality of Experience (QoE). In addition, with the development of micro-services, a traditional client-server (server) mode is deconstructed, application deconstruction functional components on the server side are distributed on a cloud platform and are uniformly scheduled by an API gateway, dynamic instantiation can be achieved as required, the service in the server is logically transferred to the client side, and the client only needs to care about the computing function and does not need to care about computing resources such as the server, a virtual machine and a container, so that the service function is realized.

A new generation network architecture facing a future network needs to cooperatively consider unified cooperative scheduling of multi-dimensional resources such as users, networks, computing power and the like, so that massive applications can call computing resources in different places in real time according to needs. At present, unified coordinated scheduling of multi-dimensional resources such as users, networks and computing power is difficult to achieve by a traditional network architecture, so that the network can schedule computing resources at different positions in real time according to needs.

Disclosure of Invention

The technical scheme of the invention aims to provide a computing power processing network system, a service processing method and a computing power network element node, which are used for realizing the unified coordinated scheduling of multi-dimensional resources such as users, networks, computing power and the like so as to ensure that the network can schedule computing resources at different positions in real time according to needs.

The invention provides a network system for computing power processing, which comprises:

and the first processing layer is used for acquiring the resource perception information and determining the calculation routing information of the service request according to the resource perception information.

Optionally, the network system, wherein the resource awareness information includes at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

calculating power resource topology information;

computing power service topology information.

Optionally, the network system, wherein the network system further includes:

the second processing layer is used for generating computing power resource topological information and/or computing power service topological information and sending the computing power resource topological information and/or the computing power service topological information to the first processing layer.

Optionally, the network system, wherein the network system further includes: a third processing layer, a fourth processing layer and a fifth processing layer;

the third processing layer is used for providing state information of the initial deployment of the computing power service;

the fourth processing layer is used for providing computing power resources and measuring computing power and service according to the received computing power template, service measurement parameters and measurement strategies;

the fifth processing layer is configured to provide network connectivity using a network infrastructure.

Optionally, in the network system, the first processing layer obtains the resource awareness information by at least one of:

acquiring demand perception information of the resource perception information through at least one of a data plane link layer, an IP layer and a management plane;

acquiring application perception information of the resource perception information through a third processing layer and/or an API (application programming interface);

computing resource perception information of the resource perception information is obtained through at least one of a fourth processing layer, a data center management platform and an edge computing management platform;

and acquiring the network resource perception information of the resource perception information through a fifth processing layer.

Optionally, in the network system, the network resource awareness information includes at least one of bandwidth, delay, and delay jitter.

Optionally, in the network system, the second processing layer is further configured to send resource awareness requests to the third processing layer, the fourth processing layer, and the fifth processing layer, respectively, so that the third processing layer, the fourth processing layer, and the fifth processing layer perform multidimensional resource awareness according to the received multidimensional resource awareness requests, and send resource awareness information to the first processing layer.

Optionally, in the network system, the second processing layer is further configured to configure computation sensing metric configuration information when the third processing layer, the fourth processing layer, and the fifth processing layer respectively perform computation measurement.

Optionally, in the network system, the computational power awareness metric configuration information includes at least one of a perceptual parameter, a measurement policy, and a transmission frequency of the multidimensional resource awareness information.

Optionally, in the network system, the second processing layer is further configured to have at least one of the following functions:

the calculation power operation and the calculation power service arrangement are completed;

carrying out abstract description and representation on the calculation force resources through calculation force modeling to form node calculation force information;

and sending the node computing power information to the computing power network element node.

Optionally, in the network system, the first processing layer includes a first sub-layer and a second sub-layer, where:

the first sublayer is used for performing at least one of network computing service announcement, network computing perception scheduling, network computing topology discovery and network computing route generation;

the second sub-layer is used for performing at least one of computation network routing forwarding, link computation network monitoring, computation network routing identification and computation network routing addressing.

The embodiment of the present invention further provides a service processing method, where the method is applied to a first computational power network element node, and the method includes:

and when a service request is received, determining the computational power routing information of the service request according to the resource perception information.

Optionally, in the service processing method, the resource awareness information includes at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

calculating power resource topology information;

computing power service topology information.

Optionally, the service processing method includes:

and acquiring the computing power resource topology information and/or the computing power service topology information sent by a second computing power network element node.

Optionally, the service processing method includes:

and when a service request is received, according to the carried OAM information, measuring at a plurality of computing power nodes for deploying the service requested by the service request, and obtaining the resource perception information.

Optionally, the network system, wherein the method further includes: and acquiring the service request in at least one mode of data packet carrying, control plane carrying and management plane data.

Optionally, the service processing method is applied to a second computational network element node, and the method includes:

and sending the resource perception information to the first computational network element node.

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

computing power resource topology information;

computing power service topology information.

Optionally, the service processing method includes:

and generating the computing power resource topology information and/or the computing power service topology information.

Optionally, the service processing method, wherein the method further includes:

respectively sending resource perception requests and calculation power perception measurement configuration information to a plurality of calculation power nodes;

acquiring registration information of a plurality of computing nodes;

and the second computing network element node generates the computing resource topology information and/or the computing service topology information according to the registration information of the computing nodes.

Optionally, in the service processing method, the registration information includes at least one of a computing power identifier, computing power initialization configuration information, service deployment information, function deployment information, and function deployment information.

Optionally, the service processing method includes:

respectively sending the perception measurement configuration information of computing power and service to a plurality of computing power nodes;

and acquiring the computational power measurement information reported by the computational power node after the computational power node performs measurement according to the perception measurement configuration information.

Optionally, in the service processing method, the sensing measurement configuration information includes at least one of a computational power measurement parameter, measurement mode information, and reporting policy information.

Optionally, in the service processing method, the computation force measurement information includes at least one of a measurement result, location information, computation force resource information, and computation force service information.

The embodiment of the present invention further provides a computational power network element node, where the computational power network element node is a first computational power network element node, and the computational power network element node includes a processor, where:

and the processor is used for determining the calculation routing information of the service request according to the resource perception information when the service request is received.

The embodiment of the present invention further provides a computational power network element node, where the computational power network element node is a second computational power network element node, and includes a transceiver, where:

the transceiver is configured to send the resource awareness information to the first computational network element node.

The embodiment of the present invention further provides a service processing apparatus, which is applied to a first computational network element node, wherein the apparatus includes:

and the processing module is used for determining the calculation routing information of the service request according to the resource perception information when the service request is received.

The embodiment of the present invention further provides a service processing apparatus, which is applied to a second computational network element node, wherein the apparatus includes:

and the information sending module is used for sending the resource perception information to the first calculation force network element node.

The embodiment of the present invention further provides a computing power processing network system, including: a processor, a memory and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing a business process method as in any one of the above.

An embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores a program, and the program, when executed by a processor, implements the steps in the service processing method according to any of the above.

At least one of the above technical solutions of the present invention has the following beneficial effects:

by adopting the network system of the embodiment, the first processing layer comprehensively considers the user requirements, the network resource conditions and the computing resource conditions, and schedules the service application to the appropriate routing node according to the resource perception information, so as to ensure that the network can schedule the computing resources at different positions in real time as required, realize the unified cooperative scheduling of multi-dimensional resources such as users, networks, computing power and the like, and ensure that the network can schedule the computing resources at different positions in real time as required.

Drawings

Fig. 1 is a schematic structural diagram of a network system according to an embodiment of the present invention;

fig. 2 is a schematic flowchart of a service processing method according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a system architecture for implementing the method according to the embodiment of the present invention;

FIG. 4 is a schematic flow chart of one embodiment of a method according to an embodiment of the present invention;

fig. 5 is a schematic flow chart of a service processing method according to another embodiment of the present invention;

fig. 6 is a schematic structural diagram of a computational network element node according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a computational power network element node according to another embodiment of the present invention;

fig. 8 is a schematic structural diagram of a service processing apparatus according to an embodiment of the present invention;

fig. 9 is a schematic structural diagram of a service processing apparatus according to another embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. In the description and in the claims "and/or" means at least one of the connected objects.

The following description provides examples and does not limit the scope, applicability, or configuration set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the spirit and scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the methods described may be performed in an order different than described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

To help better understand the related schemes of the embodiments of the present invention, the following description is made of related concepts related to the embodiments of the present invention.

1) The network system for computing power processing may also be called a computing power sensing network, a computing power network, a computing network integrated network, or a new network in which computing networks are integrated. The network system for computing power processing comprises:

a first processing layer (which may also be referred to as a computation-force routing layer),

A second processing layer (which may also be referred to as a network management layer),

A third processing layer (which may also be referred to as a computing services layer),

A fourth processing layer (which may also be referred to as a computational resource layer), and,

a fifth processing layer (which may also be referred to as a network resource layer).

2) An computational element node is herein referred to as a network device with computational power. The computational force network element nodes further may include computational force routing nodes and computational force nodes (computational force nodes are sometimes also referred to as computational nodes).

3) The computing routing node is positioned at a first processing layer of the computing network system and is a network device for transmitting the notification of the computing resource information in the computing network system.

4) The computing power node is located at the fourth processing layer and/or the fifth processing layer, and refers to a device with computing power, which is used for providing computing power resources and is equivalent to a device for processing computing tasks in a computing power processing network system, such as a server device and a kiosk in a data center. In addition, the computational node in the embodiment of the present invention may also be computational network element equipment, where the computational network element equipment is network transmission equipment of a fifth processing layer, such as a router, and the computational network element equipment may also provide computational resources and computational services.

5) The computing resource state refers to information such as computing capacity state and deployment position of computing nodes deployed in a computing processing network system, and can be indicated through parameters of the computing resources. The parameters of the computing resources specifically include one or more of the parameters of the number of service connections, CPU/GPU computing power, deployment modalities (physical, virtual), deployment locations (e.g., corresponding IP addresses), storage capacity, storage modalities, and the like. The computing resource state can also be computing power abstracted based on the computing resources and used for reflecting information such as currently available computing power, distribution position, deployment form and the like of each computing node in the computing power processing network system.

6) The network transmission resource refers to a network resource for transmitting information of a network system with computational power processing, and includes various forwarding devices (such as routers and switches), transmission links, transmission capabilities (such as bandwidth, delay and delay jitter), and the like.

In order to implement unified cooperative scheduling of multidimensional resources such as users, networks, computing power, and the like, so as to ensure that a network can schedule computing resources at different positions in real time as needed, an embodiment of the present invention provides a computing power processing network system, as shown in fig. 1, the computing power processing network system according to the embodiment of the present invention includes a first processing layer (may also be referred to as a computing power routing layer), where:

It should be noted that, in the present invention, the resource awareness information includes at least one of the following:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

calculating power resource topology information;

computing power service topology information.

The resource perception information comprises resource information which is acquired by multi-dimensional perception, namely dynamic resource information at least used for determining calculation power routing information, wherein the resource information comprises demand perception information, application perception information, calculation power resource perception information, network resource perception information and the like; of course, the dynamic resource information is not limited to being included, and the static resource information may be included. The resource perception information can reflect multi-dimensional resources of at least two of user requirements, network resources, computing power, services, storage, computing power and the like.

In addition, the calculation power resource topology information and the calculation power service topology information are static resource information used for determining calculation power routing information. By adopting the network system of the embodiment, the first processing layer comprehensively considers the user requirements, the network resource status and the computing resource status, and schedules the service application to a proper routing node according to the resource perception information, so that the network can schedule computing resources at different positions in real time as required, and users and the network are realized.

In the embodiment of the invention, optionally, the service application is scheduled to a proper routing node according to dynamic resource information which is acquired by multidimensional resource perception measurement and comprises demand perception information, application perception information, calculation resource perception information, network resource perception information and the like, and calculation resource topology information and/or calculation service topology information acquired in advance, so that the network can schedule calculation resources at different positions in real time according to needs, and the optimal resource utilization rate is realized.

Optionally, in an embodiment, the first processing layer may obtain the computation power resource topology information and/or the computation power service topology information of the local area through a plurality of computation power routing nodes, respectively, to form a distributed service architecture.

In another embodiment, the network system further comprises:

and the second processing layer (also called a computational network management layer) is used for completing the management of computational force resources, network resources and services, generating computational force resource topology information and/or computational force service topology information, and sending the computational force resource topology information and/or computational force service topology information to the first processing layer.

By adopting the embodiment, the second processing layer can provide global computational power resource topology information and/or computational power service topology information for the first processing layer, and unified cooperative scheduling of multidimensional resources such as network, storage and computational power is realized.

Specifically, with the network system according to this embodiment, a second processing layer (a computation network management layer) is used to complete management of computation resources, network resources, and services, and optionally, the second processing layer may complete operations and Maintenance, operations and Maintenance Administration (OAM), security management, computation Operation, and computation service arrangement, and the like, of the computation resources, and generate computation resource topology information and/or computation service topology information; the first processing layer (the computing power routing layer) acquires computing power resource topology information and/or computing power service topology information, and comprehensively considers user requirements, network resource conditions and computing resource conditions, so that service application is scheduled to a proper routing node according to the resource perception information and the acquired computing power resource topology information and/or computing power service topology information, computing resources at different positions can be scheduled in real time according to needs by a network, and optimal resource utilization rate is achieved.

Optionally, the network system further includes: a third processing layer, a fourth processing layer and a fifth processing layer;

the third processing layer (computing power service layer) is used for providing state information of the initial deployment of the computing power service;

the fourth processing layer (computing power resource layer) is used for providing computing power resources and measuring computing power and service according to the received computing power template, service measurement parameters and measurement strategies; optionally, the fourth processing layer is configured to provide heterogeneous computing resources, that is, computing resources of multiple types of devices;

the fifth processing layer (network resource layer) is used for providing network connection by utilizing network infrastructure.

In this embodiment of the present invention, optionally, the first processing layer obtains the resource awareness information by at least one of the following methods:

acquiring demand perception information of the resource perception information through at least one of a data plane link layer, an IP layer and a management plane (user service contract);

acquiring Application perception information of the resource perception information through a third processing layer (computing service layer) and/or an Application Programming Interface (API);

computing resource perception information of the resource perception information is obtained through at least one of a fourth processing layer (computing resource layer), a data center management platform and an edge computing management platform;

and acquiring the network resource sensing information of the resource sensing information through a fifth processing layer (network resource layer).

Optionally, the network resource awareness information comprises at least one of bandwidth, delay and delay jitter.

By adopting the network system for computing power processing described in this embodiment, the network system is logically divided into five functional modules, namely, a first processing layer, a second processing layer, a third processing layer, a fourth processing layer and a fifth processing layer, so as to realize ubiquitous computing and service perception, interconnection and cooperative scheduling. Specifically, the method comprises the following steps:

third processing layer (computing power service layer): but also for providing state information for the initial deployment of computing services. Specifically, based on a distributed microservice architecture, the computing power service layer supports application solution to form an atomization functional component, and the atomization functional component is uniformly scheduled by an API Gateway. The computing power Service layer is deployed on the computing power resource layer and used for bearing various services and applications of ubiquitous computing, parameters such as computing power requests and the like of requests of users to Service-Level agreements (SLAs) can be transmitted to the computing power routing layer, in addition, the computing power Service layer can also receive data of terminal users, and functions such as Service decomposition, Service scheduling and the like can be achieved through an API gateway.

Second processing layer (accounting management layer): the computing power operation and the computing power service arrangement are completed, and the management of computing power resources and network resources, including the perception, measurement, OAM management and the like of the computing power resources, is completed; the network computing operation of the terminal user and the management of the computing power routing layer and the network resource layer are realized. In the face of heterogeneous computing resources, a computing network management layer firstly carries out abstract description and representation on the computing resources through computing power modeling to form node computing power information and shield the difference of bottom hardware equipment; the calculation force information can be transmitted to the corresponding calculation force network element node through the calculation force announcement; in addition, it is necessary to monitor and manage performance of computing resources and network resources, and to implement computing operation and network operation.

Fourth processing layer (computing power resource layer): and providing heterogeneous computing power resources, and measuring computing power and service according to the received computing power template, service measurement parameters and measurement strategies. Specifically, the fourth processing layer provides computing power resources by using the existing computing infrastructure, and the computing infrastructure comprises various computing power combinations from a single-core CPU to a multi-core CPU, to a CPU + GPU + FPGA and the like; in order to meet the requirement of diversified calculation in the field of edge calculation, the method is oriented to different applications, and on the basis of physical calculation resources, functions such as a calculation power model, a calculation power API (application programming interface), calculation network resource identification and the like are provided.

First processing layer (computation force routing layer): the first processing layer is a core of the computational power processing network system in the embodiment of the invention, and is used for discovering the computational network resources based on abstraction, comprehensively considering network conditions and computational resource conditions, and flexibly scheduling services to different computational resource nodes according to needs.

Optionally, the first processing layer comprises a first sublayer (control plane) and a second sublayer (forwarding plane).

Fifth processing layer (network resource layer): the existing network infrastructure, which optionally includes access networks, metropolitan networks, and backbone networks, etc., is utilized to provide ubiquitous network connectivity to the various corners of the network.

Based on the network system for computing power processing in the embodiment, the five processing layers are adopted, and the sensing, control and scheduling of computing network resources can be realized. The fourth processing layer (computational resource layer) and the fifth processing layer (network resource layer) constitute an infrastructure layer of the network system, the second processing layer (computational management layer) and the first processing layer (computational routing layer) constitute two core function modules for realizing multidimensional resource perception by a computational perception function system, and users and applications are accessed into the network through the computational routing layer.

In the embodiment of the present invention, the second processing layer (a computational network management layer) needs to implement method configuration and management for sensing services, networks and computational resources, and in addition to being used for generating computational resource topology information and/or computational service topology information, the second processing layer is further used for:

respectively sending resource sensing requests to the third processing layer, the fourth processing layer and the fifth processing layer, enabling the third processing layer, the fourth processing layer and the fifth processing layer to respectively perform multidimensional resource sensing according to the received resource sensing requests, and sending resource sensing information to the first processing layer; in one embodiment, the resource sensing request includes a resource sensing configuration, and the third processing layer, the fourth processing layer, and the fifth processing layer may perform multidimensional resource sensing according to the resource sensing configuration in the resource sensing request. In another embodiment, the resource awareness request may not include the resource awareness configuration, and the resource awareness configuration may be configured in advance to the third processing layer, the fourth processing layer, and the fifth processing layer, respectively. Thus, according to the received resource perception request, the third processing layer, the fourth processing layer and the fifth processing layer can respectively respond, and multidimensional resource perception is carried out according to the resource perception configuration obtained in advance;

and configuring computing force sensing measurement configuration information when the third processing layer, the fourth processing layer and the fifth processing layer respectively perform computing force measurement. Optionally, the computational power awareness metric configuration information includes at least one of a perception parameter, a measurement policy, and a transmission frequency of the multidimensional resource awareness information.

In this embodiment, the resource sensing configurations issued by the second processing layer to the third processing layer, the fourth processing layer, and the fifth processing layer may be the same or different, and the third processing layer, the fourth processing layer, and the fifth processing layer are enabled to perform sensing and measurement according to the received resource sensing configurations by issuing the resource sensing configurations to the third processing layer, the fourth processing layer, and the fifth processing layer, respectively. And according to the received computing power perception measurement configuration information, the third processing layer, the fourth processing layer and the fifth processing layer respectively carry out computing power measurement, and report the measured computing power resources and/or service information to the computing power management layer, so that the computing power management layer generates a computing power resource topology and/or a computing power service topology according to the received computing power resources and/or service information.

On the other hand, the second processing layer configures the sensing configuration parameters when the third processing layer, the fourth processing layer and the fifth processing layer respectively sense the multidimensional resources, so that the sensing parameters, the measurement strategies, the sending frequency of the multidimensional resource sensing information and the like which are sensed and measured by the third processing layer, the fourth processing layer and the fifth processing layer can be ordered in a self-adaptive manner through the second processing layer.

Optionally, the second processing layer configures initial topology information forming computing power, service and network according to at least one of the measurement information measured and reported by the third processing layer, the measurement information measured and reported by the fourth processing layer and the measurement information measured and reported by the fifth processing layer; optionally, the initial topology information of the formed computing power, service and network may also be modified according to at least one of the above measurement information.

Optionally, the measured and reported measurement information comprises computing resources and/or service information.

In another embodiment, optionally, the third processing layer, the fourth processing layer and the fifth processing layer report the measurement information when the measurement information is changed, and the measurement information may not be reported when the measurement information is not changed.

In the embodiment of the present invention, optionally, the first processing layer provides distributed control of resource states perceived by multidimensional resources and transmission of perception information, including transmission of multidimensional resources such as services and applications, network resources, and the like, and is responsible for synchronizing real-time states of the multidimensional resources to respective entry computational routing nodes through the computational routing nodes. And the calculation routing node realizes the cooperative scheduling of calculation and the network according to the acquired calculation demand perception of the user or the service and the perception of the network side on the multidimensional resources. The multidimensional resource sensing capability is provided in a network layer or a computation routing layer, and specifically includes, but is not limited to, only including: the method includes, but is not limited to, acquiring resource perception information of multidimensional resource perception, including and only including: demand perception information, application perception information, computing power resource perception information and network resource perception information. Furthermore, the computational resource topology information and/or computational service topology information belonging to the static resource information can be obtained.

In the embodiment of the present invention, specifically, the demand sensing capability: diversified requirements of computing power, network, safety and the like of a user are obtained through a data plane link layer, an IP layer or a management plane (user service contract);

application of the perception capability: acquiring the service deployment initialization state from a computing service layer (third processing layer) or a dispatching center of a data center through an API (application programming interface) interface and the like;

calculating power resource perception capacity: the computing power resource capability is directly obtained from a computing power resource layer (a fourth processing layer) through technologies such as a probe, or the current computing power resource condition, such as the current connection number, the CPU load and the GPU load, is directly obtained from a data center management platform or an edge computing management platform.

Network resource awareness: the quality status of the network link is obtained through in-band OAM, out-band OAM, IFit, etc., including but not limited to being able to include only bandwidth, delay, jitter, etc.

The network system adopting the computing power processing of the embodiment of the invention is based on ubiquitous network connection and highly distributed computing nodes, and based on computing power measurement and modeling, a brand-new network infrastructure capable of sensing computing power is constructed through automatic deployment, optimal routing and load balancing of services. The computing power routing layer comprehensively considers user requirements, network resource conditions and computing resource conditions by computing power routing nodes, ensures that the network can schedule computing resources at different positions in real time as required, improves the utilization rate of the network and the computing resources, and further improves user experience.

Another aspect of the embodiments of the present invention further provides a service processing method, which is applied to a first computational network element node, as shown in fig. 2, where the method includes:

s210, when a service request is received, the calculation force routing information of the service request is determined according to the resource perception information.

Optionally, the resource awareness information comprises at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

calculating power resource topology information;

computing power service topology information.

In the service processing method according to the embodiment of the present invention, the first computational power network element node may determine the computational power routing information of the service request according to the resource awareness information of multidimensional resource awareness obtained through measurement and the computational power resource topology information and/or the computational power service topology information obtained in advance.

Optionally, the method further comprises:

and acquiring the computing resource topology information and/or the computing service topology information sent by a second computing network element node.

Optionally, the first computational network element node may be, but is not limited to, a computational routing node capable of being only a computational routing layer, and the second computational network element node may be, but is not limited to, a computational management center capable of being only a computational management layer.

As shown in fig. 3, a schematic diagram of a system architecture of the service processing method according to the embodiment of the present invention is adopted. The system adopting the service processing method comprises a computational network management center, a plurality of computational power routing nodes and a plurality of computational power nodes. As shown in fig. 1, the computation network management center may be located in a computation network management layer, the computation routing node may be located in a computation routing layer, and the computation node may be located in a computation resource layer and/or a network resource layer. And the calculation network management center is respectively connected with each calculation power routing node and each calculation power routing node.

Optionally, for example, the computation force nodes include a first computation force node MEC1, a second computation force node MEC2, a third computation force node MEC3, and the like, and the computation force routing nodes include a first computation force routing node PE1, a second computation force routing node PE2, a third computation force routing node PE3, and the like, where the user terminal UE accesses the network system through the first computation force routing node PE 1.

With the service processing method according to this embodiment, as shown in fig. 2, fig. 3, and fig. 4, a process of using the service processing method includes the steps of:

s410, the computational network management center sends a resource perception request for multidimensional resource perception to each computational power node, optionally the resource perception request comprises resource perception configuration, so that each computational power node carries out computational power measurement according to the resource perception configuration sent by the computational network management center, and then reports a measurement result to the computational network management center according to perception parameters, measurement strategies, sending frequency and the like configured by the resource perception configuration, so that the computational network management center generates computational power resource topology information and/or computational power service topology information according to the received computational power measurement result, namely computational power resources and service information.

S420, the computation network management center sends computation resource topology information and/or computation service topology information to the first computation routing node PE1, that is, the entry router, to which the user accesses.

S430, the customer sends a customer service request to the first computational routing node PE1, wherein the customer service request may be sent by at least one of data packet carrying (e.g., using an extension field of an IP header), control plane carrying (e.g., carried by a link layer access PPOE or IPOM protocol extension), and management plane data (e.g., a network management service contract).

S440, the first computing power routing node PE1 sends request information to a plurality of computing power nodes (e.g. including the first computing power node MEC1 and the second computing power node MEC2) that deploy the requested service of the corresponding user service request based on the received computing power resource topology information and/or computing power service topology information, where the request information carries OAM information supporting computing power and network measurement, and measures computing power and network resource status at different computing power nodes deploying the requested service.

S450, the corresponding calculation force node of the requested service performs resource perception and measurement according to the multidimensional resource perception template, and returns measurement information to the first calculation force routing node PE1 through the corresponding calculation force routing node;

s460, the first computational power routing node PE1 selects an appropriate computational power node and an optimal path for the service requested by the user based on the returned measurement information, such as real-time status conditions including computational power resources, network resources, and service status, while taking into account the user service request.

The present invention further provides a service processing method in another embodiment, which is applied to a second computational power network element node, as shown in fig. 5, and the method includes:

s510, resource perception information is sent to the first calculation network element node.

Optionally, the resource awareness information includes at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

computing power resource topology information;

computing power service topology information.

Optionally, the first computational power network element node may be, but is not limited to, a computational power routing node capable of being only a computational power routing layer, and the second computational power network element node may be, but is not limited to, a computational power management center capable of being only a computational power management layer.

Optionally, the method further comprises:

Optionally, the service processing method includes:

respectively sending multidimensional resource perception requests and calculation power perception measurement configuration information to a plurality of calculation power nodes;

acquiring registration information of a plurality of computing nodes;

and the second calculation network element node generates the calculation resource topology information and/or the calculation service topology information according to the registration information of the calculation node.

Optionally, the service processing method includes:

Specifically, the computational network management center sends a multidimensional resource perception template and perception configuration parameters for multidimensional resource perception to each computational power node, so that each computational power node performs computational power measurement according to the perception configuration parameters sent by the computational network management center, and then reports measurement results to the computational network management center according to the perception parameters, the measurement strategies, the sending frequency and the like configured by the perception configuration parameters, so that the computational network management center generates computational power resource topology information and/or computational power service topology information according to the received computational power measurement results, namely computational power resources and service information; and each computation force center performs multidimensional resource perception according to the multidimensional resource perception template and sends resource perception information to the corresponding computation force routing node.

By adopting the service processing method of the embodiment of the invention, perception and measurement including user requirements, application services, network resources, computational resources and the like are realized through management, control and data plane cooperative perception so as to comprehensively consider the user requirements, the network resource conditions and the computational resource conditions, thus the service application is scheduled to a proper routing node according to the resource perception information and the acquired computational resource topological information and/or computational resource topological information, thereby ensuring that the network can schedule the computational resources at different positions in real time as required, realizing optimal resource utilization rate and effectively reducing network resource state signaling overhead in the network.

An embodiment of the present invention further provides a computational power network element node, where the computational power network element node is a first computational power network element node, as shown in fig. 6, and includes a processor 610 and a transceiver 620, where:

the processor 610 is configured to, when receiving a service request, determine strength routing information of the service request according to resource awareness information.

Optionally, the computational power network element node, wherein the resource awareness information includes at least one of:

demand awareness information;

applying the perception information;

calculating power resource perception information;

network resource awareness information;

computing power resource topology information;

computing power service topology information.

Optionally, the computational power network element node, wherein the transceiver 620 is configured to:

Optionally, the computational power network element node, wherein the method further includes:

Optionally, the computational power network element node, wherein the transceiver 620 is further configured to: and acquiring the service request in at least one mode of data packet carrying, control plane carrying and management plane data.

An embodiment of the present invention further provides a computational power network element node, where the computational power network element node is a second computational power network element node, as shown in fig. 7, and includes a transceiver 710 and a processor 720, where:

the transceiver 710 is configured to send resource awareness information to the first computational network element node.

Optionally, the resource awareness information comprises at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

computing power resource topology information;

computing power service topology information.

Optionally, the computational network element node, wherein the processor 720 is configured to:

and generating the computing power resource topological information and/or the computing power service topological information.

Optionally, the computational power network element node, wherein the transceiver 710 is further configured to:

respectively sending a resource perception request and calculation power perception measurement configuration information to a plurality of calculation power nodes;

acquiring registration information of a plurality of computing nodes;

the processor 720 generates the computing resource topology information and/or the computing service topology information according to the registration information of the computing nodes.

Optionally, in the computational network element node, the registration information includes at least one of a computational identifier, computational initialization configuration information, service deployment information, function deployment information, and function deployment information.

Optionally, the computational power network element node, wherein the perceptual measurement configuration information includes at least one of a computational power measurement parameter, measurement mode information, and reporting policy information.

Optionally, the computational power network element node, wherein the computational power measurement information includes at least one of a measurement result, location information, computational power resource information, and computational power service information.

An embodiment of the present invention further provides a service processing apparatus, which is applied to a first computational network element node, and as shown in fig. 8, the apparatus includes:

the processing module 810 is configured to, when a service request is received, determine, according to the resource awareness information, the calculation routing information of the service request.

Optionally, the service processing apparatus, wherein the resource awareness information includes at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

computing power resource topology information;

computing power service topology information.

Optionally, the service processing apparatus, wherein the apparatus further includes:

an obtaining module 820, configured to obtain the computational power resource topology information and/or computational power service topology information sent by the second computational power network element node.

Optionally, in the service processing apparatus, the processing module 810 is further configured to:

Optionally, in the service processing apparatus, the obtaining module 820 is further configured to: and acquiring the service request in at least one mode of data packet carrying, control plane carrying and management plane data.

An embodiment of the present invention further provides a service processing apparatus, which is applied to a second computational power network element node, and as shown in fig. 9, the apparatus includes:

an information sending module 910, configured to send resource awareness information to the first computational network element node.

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

calculating power resource topology information;

computing power service topology information.

a generating module 920, configured to generate the computation resource topology information and/or the computation service topology information.

Optionally, in the service processing apparatus, the information sending module 910 is further configured to:

acquiring registration information of a plurality of computing power nodes;

the generating module 920 generates the computing resource topology information and/or the computing service topology information according to the registration information of the computing node.

Optionally, in the service processing apparatus, the registration information includes at least one of a computing power identifier, computing power initialization configuration information, service deployment information, function deployment information, and function deployment information.

Optionally, in the service processing apparatus, the sensing measurement configuration information includes at least one of a computational power measurement parameter, measurement mode information, and reporting policy information.

Optionally, the service processing apparatus, wherein the computation force measurement information includes at least one of a measurement result, location information, computation force resource information, and computation force service information.

The embodiment of the present invention further provides a network system for computing power, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements each process in the embodiment of the computing power processing method when executing the program, and can achieve the same technical effect, and details are not repeated here to avoid repetition.

In addition, a readable storage medium is further provided in a specific embodiment of the present invention, where a program is stored on the readable storage medium, where the program, when executed by a processor, implements each process in the service processing method according to any one of the foregoing descriptions, and can achieve the same technical effect, and details are not repeated here to avoid repetition.

In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the transceiving method according to various embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

While the foregoing is directed to the preferred embodiment of the present invention, it will be appreciated by those skilled in the art that various changes and modifications may be made therein without departing from the principles of the invention as set forth in the appended claims.

Claims

1. A computing-power processing network system, comprising:

2. The network system of claim 1, wherein the resource-aware information comprises at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

calculating power resource topology information;

computing power service topology information.

3. The network system according to claim 2, wherein the network system further comprises:

and the second processing layer is used for generating calculation force resource topology information and/or calculation force service topology information and sending the calculation force resource topology information and/or the calculation force service topology information to the first processing layer.

4. The network system according to claim 3, wherein the network system further comprises: a third processing layer, a fourth processing layer and a fifth processing layer;

the fourth processing layer is used for providing computing power resources and measuring computing power and service according to the received computing power template, the service measurement parameters and the measurement strategy;

5. The network system of claim 4, wherein the first processing layer obtains the resource-aware information by at least one of:

acquiring application perception information of the resource perception information through a third processing layer and/or an API (application program interface);

6. The network system of claim 5, wherein the network resource awareness information comprises at least one of bandwidth, latency, and latency jitter.

7. The network system according to claim 4, wherein the second processing layer is further configured to send resource awareness requests to the third processing layer, the fourth processing layer, and the fifth processing layer, respectively, so that the third processing layer, the fourth processing layer, and the fifth processing layer perform multidimensional resource awareness according to the received multidimensional resource awareness requests, respectively, and send resource awareness information to the first processing layer.

8. The network system according to claim 7, wherein the second processing layer is further configured to configure computing power sensing metric configuration information when the third processing layer, the fourth processing layer, and the fifth processing layer perform computing power measurement respectively.

9. The network system according to claim 8, wherein the computational power awareness metric configuration information comprises at least one of a perceptual parameter, a measurement policy, and a transmission frequency of multidimensional resource awareness information.

10. The network system of claim 3, wherein the second processing layer is further configured to at least one of:

completing calculation power operation and calculation power service arrangement;

11. The network system of claim 1, wherein the first processing layer comprises a first sub-layer and a second sub-layer, wherein:

12. A method for processing traffic, the method being applied to a first computationally intensive network element node, the method comprising:

13. The traffic processing method according to claim 12, wherein the resource-aware information comprises at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

computing power resource topology information;

computing power service topology information.

14. The traffic processing method according to claim 13, wherein the method further comprises:

15. The traffic processing method according to claim 12, wherein the method further comprises:

16. The traffic processing method according to claim 12, wherein the method further comprises: and acquiring the service request in at least one mode of data packet carrying, control plane carrying and management plane data.

17. A method for processing services, applied to a second computational network element node, the method comprising:

18. The traffic processing method according to claim 17, wherein the resource awareness information comprises at least one of:

demand awareness information;

applying the perception information;

computing power resource perception information;

network resource awareness information;

computing power resource topology information;

computing power service topology information.

19. The traffic processing method according to claim 18, wherein the method further comprises:

20. The traffic processing method according to claim 19, wherein the method further comprises:

acquiring registration information of a plurality of computing nodes;

21. The traffic processing method of claim 20, wherein the registration information comprises at least one of a computationally intensive identifier, computationally intensive initialization configuration information, service deployment information, function deployment information, and function deployment information.

22. The traffic processing method according to claim 20, wherein the method further comprises:

23. The traffic processing method of claim 22, wherein the perceptual measurement configuration information comprises at least one of computational power measurement parameters, measurement mode information, and reporting policy information.

24. The traffic processing method of claim 22, wherein the computation force measurement information comprises at least one of measurement results, location information, computation force resource information, and computation force service information.

25. A computational force network element node, the computational force network element node being a first computational force network element node, comprising a processor, characterized in that:

26. A computational force network element node, the computational force network element node being a second computational force network element node comprising a transceiver, characterized in that:

27. A service processing apparatus applied to a first computational network element node, the apparatus comprising:

28. A service processing apparatus applied to a second computational network element node, the apparatus comprising:

29. A computing-power processing network system, comprising: a processor, a memory and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing a business process method according to any one of claims 12 to 16 or implementing a business process method according to any one of claims 17 to 24.

30. A readable storage medium, characterized in that the readable storage medium has stored thereon a program which, when executed by a processor, implements the steps in the traffic processing method according to any one of claims 12 to 16, or implements the steps in the traffic processing method according to any one of claims 17 to 24.