CN116781758A - Information processing method and device, storage medium and equipment - Google Patents

Abstract

This application discloses an information processing method, which is applied to a cloud service platform. The method includes: receiving a resource coordination instruction sent by a central node. The resource coordination instruction is used to instruct at least one edge node to perform resource coordination. The resource coordination The instructions include: resources that need to be coordinated by the at least one edge node; determining a target edge node in the at least one edge node that executes the resource coordination instruction based on the resources that need to be coordinated; sending the resource coordination instruction to the The target edge node, so that the target edge node executes the resource coordination instruction. In addition, this application also discloses an information processing device, equipment, and storage medium. This solution can increase processing speed and reduce latency.

Description

An information processing method and device, storage medium, and equipment

Technical field

The present application relates to the field of information processing technology, and in particular, to an information processing method and device, storage medium, and equipment.

Background technique

For the cloud game scene, the cloud game scene is that the game is run on the cloud server, the game screen is rendered, and after the rendering is completed, the rendered game screen is compressed, and the compressed screen is transmitted to the terminal device. Among them, since all game screens are rendered through the cloud server, the cloud server will not be able to render all game screens in a short time, and there will be a high delay in transmitting the compressed screens to the terminal device. This causes problems such as slow processing speed and high latency.

Contents of the invention

In order to solve the problems existing in related technologies, embodiments of the present application provide an information processing method and device, a storage medium, and an electronic device, which can increase the processing speed and reduce the delay.

The technical solution of the embodiment of this application is implemented as follows:

In the first aspect, embodiments of the present application provide an information processing method applied to a service platform. The method includes:

Obtain a resource coordination instruction. The resource coordination instruction is used to instruct at least one edge node to perform resource coordination. The resource coordination instruction includes: resources that the at least one edge node needs to coordinate;

Determine the target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination;

Send the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction.

In a second aspect, embodiments of the present application provide an information processing device, applied to a service platform, and the device includes:

An acquisition unit, configured to acquire resource coordination instructions, where the resource coordination instructions are used to instruct at least one edge node to perform resource coordination, where the resource coordination instructions include: resources that the at least one edge node needs to coordinate;

A determining unit configured to determine a target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination;

A sending unit configured to send the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction.

In a third aspect, embodiments of the present application provide a storage medium that stores a computer program. When the computer program is executed by a processor, any one of the above information processing methods is implemented.

In a fourth aspect, embodiments of the present application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above information processing method is implemented. .

This application provides an information processing method and device, a storage medium, and an electronic device, which are applied to a service platform. The service platform obtains resource coordination instructions, and determines the execution of the resource in the at least one edge node based on the resource that needs to be coordinated. The target edge node of the coordination instruction sends the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction, and the resource coordination instruction is used to instruct at least one edge node to perform resource coordination, The resource coordination instructions include: resources that the at least one edge node needs to coordinate. In this way, resources that originally need to be processed by the cloud server can be transferred to the target edge node, and then processed through the target edge node, thereby speeding up the processing and reducing latency.

Description of drawings

Figure 1 is an optional structural schematic diagram of an information processing system provided by an embodiment of the present application;

Figure 2 is an optional flow diagram of an information processing method provided by an embodiment of the present application;

Figure 3 is an optional structural schematic diagram of a cloud service platform provided by an embodiment of the present application;

Figure 4 is an optional flow diagram of an information processing method provided by an embodiment of the present application;

Figure 5 is an optional flow diagram of an information processing method provided by an embodiment of the present application;

Figure 6 is an optional structural schematic diagram of a cloud service platform provided by an embodiment of the present application;

Figure 7 is an optional flow diagram of an information processing method provided by an embodiment of the present application;

Figure 8 is an optional structural schematic diagram of the network structure provided by the embodiment of the present application;

Figure 9 is an optional structural schematic diagram of a behavior detection device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the specific technical solutions of the application will be further described in detail below in conjunction with the drawings in the embodiments of the present application. The following examples are used to illustrate the embodiments of the present application, but are not used to limit the scope of the embodiments of the present application.

Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by a person skilled in the art to which the embodiments of the present application belong. The terms used herein in the description of the embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the embodiments of the present application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

In the following description, the terms "first\second\third" involved are only used as an example to distinguish different objects, and do not represent a specific ordering of the objects, and have no restriction on the sequence. It will be understood that "first\second\third" may interchange specific orders or sequences where permitted, so that the embodiments of the application described here can be used in other ways than those illustrated or described here. Implemented sequentially.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

The information processing method provided by the embodiment of the present application can be applied to the information processing system 100 as shown in Figure 1. As shown in Figure 1, the information processing system 100 can include: a cloud service platform 101.

The cloud service platform obtains the resource coordination instruction, determines the target edge node in at least one edge node that executes the resource coordination instruction based on the resources that need to be coordinated, and sends the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction. The resource coordination instruction is used to instruct at least one edge node to perform resource coordination, and the resource coordination instruction includes: resources that the at least one edge node needs to coordinate.

Before further describing the present application in detail, the nouns and terms involved in the embodiments of the present application are explained. The nouns and terms involved in the embodiments of the present application are applicable to the following explanations.

1) Cloud service platform is a platform that provides cloud computing services, including various cloud computing components.

2) Edge nodes are nodes that provide edge computing, including various edge computing components. Generally speaking, edge nodes have limited computing resources and storage resources, but they are close to users and are not limited by network bandwidth, so they can provide low-latency services. Infrastructure resources such as physical machines and virtual machines can be set up on edge nodes.

3) Central node. The computing resources and storage resources on the central node are sufficient, but due to factors such as unstable customer network and low bandwidth, it is unable to provide low-latency services. Infrastructure resources such as physical machines and virtual machines can be set up on the central node.

The embodiments of the present application will be further described in detail below through the accompanying drawings and specific examples.

Figure 2 is a schematic flow chart of an information processing method according to an embodiment of the present application. The method is applied to the service platform. As shown in Figure 2, the method may include the following steps:

S201. The cloud service platform receives a resource coordination instruction sent by the central platform. The resource coordination instruction is used to instruct at least one edge node to perform resource coordination. The resource coordination instruction includes: resources that the at least one edge node needs to coordinate.

Here, the cloud service platform includes: a central node and at least one edge node. Among them, at least one edge node can coordinate the resources of the central node based on the resource coordination instruction sent by the central node.

Resources that require collaboration may include: at least one of computing resources, application collection resources, and data resources.

In an example, the resources that need to be coordinated include: computing resources.

In another example, the resources that need to be coordinated include: application collection resources.

In yet another example, the resources that need to be coordinated include: data resources.

In yet another example, resources that need to be coordinated include: computing resources, application collection resources, and data resources.

In this embodiment of the present application, when the resources that need to be coordinated are computing resources, at least one edge node can collaborate with the computing resources of the central node. That is, at least one edge node can provide infrastructure resources capable of computing to assist the central node in computing.

When the resource that needs to be coordinated is an application collection resource, the application in the application collection resource can be deployed on at least one edge node.

When the resource that needs to be coordinated is a data resource, at least one edge node can perform a preliminary analysis on the data resource, obtain the analysis results, and then send the obtained analysis results to the central node.

The cloud service platform includes: Infrastructure-as-a-Service (IaaS) layer, Platform-as-a-Service (PaaS) layer and Software-as-a-Service (Software-as-a-Service, SaaS) layer. Among them, the IssS layer is equipped with physical machines, virtual machines and other resources; the PaaS layer is between the IaaS layer and the SaaS layer, and software deployment can be carried out through the PaaS layer.

As shown in Figure 3, for each edge node 302 of the central node 301 and at least one edge node, an IaaS layer 303, a PaaS layer 304 and a SaaS layer 305 are provided in the central node and the edge node. Collaboration of computing resources between the central node and at least one edge node is carried out through the IaaS layer; collaboration of application collection resources between the central node and at least one edge node is carried out through the PaaS layer; collaboration between the central node and at least one edge node is carried out through the SaaS layer collaboration between data resources.

In the embodiment of the present application, as shown in Figure 3, operation management collaboration 306 and operation and maintenance monitoring collaboration 307 can also be performed between the central node 301 and the edge node 302.

S202. The cloud service platform determines the target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination.

Here, after the cloud service platform receives the resources that need to be coordinated by at least one edge node, the cloud service platform can determine the target edge node in the at least one edge node that executes the resource coordination instruction based on the resources that need to be coordinated. The target edge node is one or more edge nodes among the at least one edge node, which is not limited in this embodiment of the present application.

In an example, at least one edge node includes: edge node 1, edge node 2 and edge node 3. The resources that need to be coordinated are computing resources. The cloud service platform determines edge node 1 from edge node 1, edge node 2 and edge node. is the target edge node.

S203. The cloud service platform sends the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction.

Here, after the cloud service platform determines the target edge node, the cloud service platform can send a resource coordination instruction to the determined target edge node, so that the target edge node executes the resource coordination instruction.

In an example, the target edge node is edge node 1, and the resources that need to be coordinated are computing resources. The cloud service platform sends the computing resources to edge node 1, so that the edge node 1 provides infrastructure resources capable of computing to assist The central node performs calculations.

Embodiments of the present application provide an information processing method, which is applied to a service platform. The service platform obtains resource coordination instructions, and determines the target edge node in the at least one edge node that executes the resource coordination instructions according to the resources that need to be coordinated. Send the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction. The resource coordination instruction is used to instruct at least one edge node to perform resource coordination. The resource coordination instruction includes: The at least one edge node requires coordinated resources. In this way, resources that originally need to be processed by the cloud server can be transferred to the target edge node, and then processed through the target edge node, thereby speeding up the processing and reducing latency.

In some embodiments, the resources that need to be coordinated include: computing resources, and the target edge node includes: a first target edge node; correspondingly, the at least one edge node is determined based on the resources that need to be coordinated. The target edge node that executes the resource coordination instruction in the cloud service platform includes: the cloud service platform determines the first target edge node in the at least one edge node that executes the resource coordination instruction according to the computing resource.

Here, the first target edge node is one or more edge nodes among the at least one edge node. The embodiment of the present application does not place any limit on the number of first target edge nodes.

The infrastructure provided by each edge node in at least one edge node may be the same or different, and the embodiments of this application do not impose any limitation on this.

In an example, the resources that need to be coordinated are computing resources, and at least one edge node includes: edge node 1 and edge node 2, where the infrastructure provided by edge node 1 and edge node 2 can both be used to perform computing functions. At this time, The cloud service platform determines edge node 1 and edge node 2 as the first target edge nodes.

In another example, the resources that need to be coordinated are computing resources. At least one edge node includes: edge node 1 and edge node 2, where the infrastructure provided by edge node 1 is used to perform computing functions, and the infrastructure provided by edge node 2 It is used to perform storage functions. At this time, the cloud service platform determines edge node 1 as the first target edge node.

In some embodiments, the resources that require collaboration include: application collection resources, the application collection resources include: at least one application, the target edge node includes: a second target edge node, the second target The edge node is the same as or different from the first target edge node. The resource coordination instructions include: deploying the at least one application program on the second target edge node; correspondingly, determining according to the resources that need to be coordinated. The target edge node that executes the resource coordination instruction in the at least one edge node includes: the cloud service platform determines the second edge node in the at least one edge node that executes the resource coordination instruction based on the application collection resources. Target edge node; correspondingly, sending the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction, includes: the cloud service platform The at least one application is deployed on the node.

Here, the second target edge node is one or more edge nodes among the at least one edge node. The embodiment of the present application does not impose any limitation on the number of the second target edge node.

The cloud service platform may determine the second target edge node from the at least one edge node based on the installation space required to install each application program in the at least one application program and the storage space of each edge node in the at least one edge node. If the installation space of an application is smaller than the storage space of the edge node, the application can be deployed on the edge node.

In this embodiment of the present application, after determining the second target edge node, the cloud service platform may deploy at least one application program on the determined second target edge node.

In some embodiments, the method further includes: the cloud service platform creates an image warehouse, and the image warehouse is used to deploy the at least one application; correspondingly, deploying on the second target edge node The at least one application program includes: the cloud service platform deploys the at least one application program on the second target edge node through the image warehouse.

Here, after creating the image warehouse, the cloud service platform can deploy at least one application on the second target edge node through the created image warehouse.

In some embodiments, for each of the at least one application, at least one delay of the application in the at least one edge node is determined, the at least one edge node and the at least one delay correspondingly; correspondingly, determining the second target edge node that executes the resource coordination instruction among the at least one edge node includes: the cloud service platform starts from at least one delay corresponding to the at least one Among the edge nodes, the edge node corresponding to the delay smaller than the set delay threshold is determined as the second target edge node.

In an example, at least one edge node includes: edge node A and edge node B. The delay of the application in edge node A is 10ms, and the delay of the application in edge node B is 20ms. The delay threshold is set. is 15 ms. Since the delay of edge node A of 10 ms is less than the set delay threshold of 15 ms, edge node A of the cloud service platform is determined as the second target edge node.

In some embodiments, the method further includes: for each of the at least one application, the cloud service platform determines at least one energy consumption of the application in the at least one edge node, so There is a one-to-one correspondence between the at least one edge node and the at least one energy consumption; correspondingly, determining the second target edge node that executes the resource coordination instruction in the at least one edge node includes: the cloud service platform obtains Among the at least one edge node corresponding to the at least one energy consumption, the edge node corresponding to the energy consumption less than the set energy consumption threshold is determined as the second target edge node.

Here, at least one edge node includes: edge node A and edge node B. The energy consumption of the application in edge node A is energy consumption 1. The energy consumption of the application in edge node B is energy consumption 2. The energy consumption 1 is less than The energy consumption threshold is set, and the cloud service platform edge node A is determined as the second target edge node.

In some embodiments, energy consumption includes: access energy consumption, edge node computing energy consumption, transmission energy consumption, and central node computing energy consumption. Among them, the access energy consumption E _i ^{tran, d} is the energy consumption generated by the terminal device used to access the edge node, and the transmission energy consumption E _i ^{tran, e} is the energy consumption generated by the edge node transmitting to the central node. Node computing energy consumption is the energy consumption generated by the edge node when performing calculations, the central node calculates the energy consumption E _i ^{comp, and c} is the energy consumption generated by the central node when performing calculations.

Here, the access energy consumption E _i ^{tran, d} is specifically shown in the following formula (1):

E _i ^{tran, d} = P ^η G _i formula (1);

Among them, P ^η is the energy consumed by the link to transmit a unit bit, and Gi represents the i-th computing task.

The transmission energy consumption E _i ^{tran, e} is specifically shown in the following formula (2):

E _i ^{tran, e} = Pλv _i G _i formula (2);

Among them, P and λ are parameters, and vi is the edge computing power correction parameter.

Edge node computing energy consumption Specifically, it is shown in the following formula (3):

Among them, eta ^e is the energy consumption factor of the edge node, λ is the parameter, and vi is the edge computing power correction parameter.

The central node calculates the energy consumption E _i ^{comp, c} as shown in the following formula (4):

Among them, eta ^e is the energy consumption factor of the central node, λ is the parameter, vi is the edge computing power correction parameter, Gi represents the i-th computing task, Compute resources for the central node.

In some embodiments, the delay includes: access delay and transmission delay, and determining at least one delay of the application in the at least one edge node includes: the cloud service platform based on The access delay and the transmission delay determine at least one delay of the application in the at least one edge node.

Here, the access delay _Ti ^tran,d is the delay of the terminal device used by the user to access the edge node, which can be shown in the following formula (5):

Among them, Gi represents the i-th computing task, β _i is the coefficient corresponding to the computing task, and P and σ are parameters.

The transmission delay _Ti ^tran,e is the transmission delay from the central node to the edge node, which can be shown in the following formula (6):

Among them, λ is a parameter, vi is the edge computing power correction parameter, W _{k, i} is the network transmission bandwidth, and Gi represents the i-th computing task.

In the embodiment of the present application, the delay may also include: the central node calculation delay _Ti ^comp,c and the edge node calculation delay _Ti ^comp,e . Among them, the central node calculation delay can be shown as the following formula (7):

Among them, Gi represents the i-th computing task, and f _i ^c is the central node computing resource.

The edge node calculation delay T _i ^comp,e can be expressed as the following formula (8):

Among them, λ is a parameter, vi is the edge computing power correction parameter, Gi represents the i-th computing task, and F _k,i is the edge node computing resource.

In the embodiment of this application, the delay includes: access delay, transmission delay, central node calculation delay and edge node calculation delay. Correspondingly, the determination of the application program in the at least one edge node is At least one delay includes: the cloud service platform can determine at least one delay of the application in the at least one edge node based on access delay, transmission delay, central node calculation delay and edge node calculation delay. hour.

In the embodiment of this application, when the running application is a game, the edge node can be used to perform a multi-dimensional precision scheduling algorithm (EMDA) to calculate the total delay Ti of the game in the network and the energy consumption Ei generated by the game operation as Constraints, the optimal solution of edge node configuration is provided through mixed integer nonlinear programming MINLP to obtain the maximum benefit M.

The income Mi generated by computing power operation can be set to different game rate of return ξ _i according to the type of game played by the player. The rate of return of the game is bound to the monthly income ranking of the game. By dividing the charging calculation task Vi required by the game task and the energy consumption, the benefit Mi of executing the task is obtained. After the deterministic algorithm of integer nonlinear programming (MINLP) is used to determine the global optimal node, the total cost generated by the computing power operation is finally obtained. Profit M. Among them, the computing power indicates the IaaS resources in the edge node.

Here, the charge calculation task Vi required for the game task can be expressed as the following formula (9):

Among them, α and t are parameters, β _i is the coefficient corresponding to the calculation task, and Gi represents the i-th calculation task.

The benefit Mi of executing the task can be expressed as the following formula (10):

The total income M can be expressed as the following formula (11):

In some embodiments, the resources that require coordination include: data resources, and the resource coordination instructions include: analyzing the data resources through the target edge node; correspondingly, sending the resource coordination instructions to The target edge node, so that the target edge node executes the resource coordination instruction, includes: analyzing the data resource through the target edge node, obtaining an analysis result, and sending the analysis result to the Cloud service platform.

Here, the target edge node can analyze the data resources, obtain the analysis results, and send the obtained analysis results to the central node. After the central node receives the analysis results, the central node will store the received analysis results.

Cloud gaming is a gaming method based on cloud computing. It is essentially an interactive online video stream. In the operating mode of cloud gaming, the game runs on the cloud server, and the rendered game screen or instructions are compressed and passed through network delivered to the user.

As shown in Figure 4, the game runs in the cloud game platform 401. The cloud game platform sends game audio and video streams to the terminal display device 402. The terminal display device 402 sends control instructions to the cloud game platform 401. The input device 403 sends control instructions to the terminal. Display device 402.

Due to the huge amount of video rendering data generated by each frame of large-scale console games, despite the help of video compression algorithms such as H264 and H265, the compressed bit rate is still not small.

From the additional purchase of cloud game service platforms and the demand for network bandwidth, it can be concluded that in order to ensure the experience of game services, in addition to the hardware conditions required for game operation in the cloud, edge nodes and network transmission have become a lower priority in cloud game services. There are two very critical factors in game latency. Existing solutions currently mainly rely on the following methods to solve the problem:

Method 1. In provinces where game players are concentrated, build game nodes in the central cities of the provinces, and calculate the game nodes closest to the users for access.

However, the above method 1 cannot achieve full coverage. The service quality for users who are close to the game node is good, but the service quality for users who are far from the game node cannot be guaranteed. In addition, due to the different regional distribution of user groups of different games, it is difficult to provide the same service quality for different games.

Method 2: By reducing the resolution and frame rate of the game, it can greatly reduce the bandwidth occupied by the video stream.

However, the above method 2 limits the game experience. The low-resolution and low-frame-rate cloud will not be able to host large-scale games, which deviates from the original intention of cloud gaming.

Method 3: Build a large number of edge nodes to ensure user service quality.

However, the above method 3 requires the construction of a large number of edge nodes, which poses a huge challenge to product promotion and competitiveness building. Moreover, due to the dynamic changes in game popularity, it may cause a huge waste of investment.

With the rapid development of edge computing, a faster and more stable transmission channel is provided for the transmission of large amounts of data in cloud games. Low latency and high reliability can meet the network latency requirements of cloud games. This application provides service guarantee for cloud games through cloud-edge collaboration technology, and achieves a dynamic balance between service quality and cost-effectiveness through cloud-edge collaboration.

The information processing method provided by this application will be described in detail below.

Build a cloud game service platform based on cloud-edge collaboration. The cloud game service is split into layers and the cloud game intelligent collaborative service module is introduced. The cloud game intelligent collaborative service module is used to coordinate the central node and edge node of the cloud game service platform.

The platform divides the services required for cloud games into infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), software-as-a-service (Software-as-a-service). Service, SaaS) layer is abstractly decoupled, with IaaS collaboration as the core, to build PaaS and SaaS full-stack collaboration capabilities. Among them, the physical machines, virtual machines and other resources of cloud game services are concentrated in the IaaS layer, focusing on edge collaboration; the encoding, decoding, streaming and other capabilities required for cloud games are concentrated on the PaaS layer, focusing on game business orchestration collaboration and application management collaboration. ; The trial play, permission control and other capabilities required for cloud games are concentrated on the SaaS layer, focusing on game SaaS service collaboration and data collaboration.

Resource management collaboration will be described in detail below:

First of all, as a cloud game service platform, it is impossible to build edge nodes on a large scale across the country. In order to reduce construction costs to the greatest extent, edge nodes opened by various public cloud vendors are mainly used. By integrating edge nodes from different manufacturers to form a nationwide gaming edge network, and dynamically deploying them according to business needs, construction costs can be minimized.

Edge nodes provide infrastructure resources such as computing, storage, network, virtualization, and containers. The resources of edge nodes have local resource collaborative management capabilities. They can also collaborate with the cloud to receive and execute cloud game intelligent collaborative service resource collaborative management strategies, which mainly include Edge node resource management, global collaboration and cloud edge/edge network connection capabilities.

As shown in Figure 5, the cloud game collaboration module 501 performs computing power scheduling management and control and activates edge computing power, and sends the edge computing power activation to edge nodes 502, edge nodes 503 and edge nodes 504. Among them, each edge node among edge node 502, edge node 503 and edge node 504 includes: application (Application, APP) 5021, communication-as-a-service (Communication-as-a-Service) layer 5022, IaaS layer 5023 and hardware Resource 5024. In the embodiment of this application, computing power scheduling and control can be carried out according to the screening strategy and the decentralization strategy.

Application/service management collaboration is described in detail below:

Application/service management collaboration refers to the management, collaboration and business orchestration of game applications based on cluster management, business orchestration, cloud-edge message collaboration and other functions. It provides self-built edge sharing clusters based on KubeEdge, access management of third-party public cloud edge nodes and customer private nodes, and global docking through mirror warehouses. Game services (video transcoding, video rendering, game streaming, etc.) can be quickly deployed to edge nodes through the mirror warehouse, greatly reducing manual deployment cycles and post-maintenance issues. Among them, cluster management is to extend Kubernetes' native container orchestration and scheduling capabilities to edge nodes; business orchestration is to extend Kubernetes' native container orchestration and scheduling capabilities to the edge; and cloud-edge message collaboration is to use message channels between central nodes and edge nodes. Perform message synchronization. Message synchronization can be implemented based on the Message Queuing Telemetry Transport (MQTT) protocol.

As shown in Figure 6, the cloud game collaboration module 501 can perform cluster management, business orchestration and business image management; the central node 601 can establish a Kubernetes edge shared cluster 6011 and a KubeEdge edge shared cluster 6012; the edge node 602 can establish a Kubernetes edge exclusive cluster 6021 , KubeEdge edge exclusive cluster 6022, third-party cluster 6023, edge service node 6024 and private node 6025, private node 6025 and business image management are transmitted through the image warehouse 603.

Data collaboration will be described in detail below:

Data collaboration is responsible for collecting terminal data of cloud game edge nodes. Cloud game edge service nodes perform preliminary processing and analysis of data according to rules or data models, and transmit the processing results back to the central cloud; cloud services provide storage, analysis and analysis of massive data. Value mining will eventually form linked cloud-edge data and deliver it to the edge.

As shown in Figure 7, application 1 601a, application 2 601b and application 3 601c are deployed on the central node 601. The central node 601 sends the data of application 1 to edge node 1 701, edge node 2 702 and Edge node 3 703, where edge node 701 is connected to two terminal devices 704.

Through the above-mentioned resource management collaboration, application/service management collaboration, and data collaboration, a complete set of cloud-edge collaboration methods covering the three layers of IaaS, PaaS, and SaaS is constructed.

The edge node multi-dimensional precision collaboration algorithm (EMDA) will be described in detail below:

How to find the edge node that best matches game users will directly determine the user's gaming experience. The traditional method based on location and IP has great limitations in finding the edge nodes closest to game players and cannot truly take advantage of edge computing.

The edge node multi-dimensional precision collaboration algorithm (EMDA) takes the total delay of the game in the network T _i and the energy consumption E _i generated by the game operation as constraints, and provides the optimal solution for the edge node configuration through mixed integer nonlinear programming MINLP. Get the maximum profit M.

Figure 8 is an information processing device provided by an embodiment of the present application. As shown in Figure 8, the information processing device 800 is applied to a cloud service platform. The information processing device 800 includes:

The acquisition unit 801 is used to obtain resource coordination instructions. The resource coordination instructions are used to instruct at least one edge node to perform resource coordination. The resource coordination instructions include: resources that the at least one edge node needs to coordinate;

Determining unit 802, configured to determine the target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination;

The sending unit 803 is configured to send the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction.

In some embodiments, the resources requiring collaboration include: computing resources, and the target edge node includes: a first target edge node;

Determining unit 802 is also used for:

According to the computing resources, a first target edge node among the at least one edge node that executes the resource coordination instruction is determined.

In some embodiments, the resources that require collaboration include: application collection resources, the application collection resources include: at least one application, the target edge node includes: a second target edge node, the second target The edge node is the same as or different from the first target edge node, and the resource coordination instructions include: deploying the at least one application program on the second target edge node;

Determining unit 802 is also used for:

Determine a second target edge node among the at least one edge node that executes the resource coordination instruction according to the application collection resources;

Sending unit 803, also used for:

Deploy the at least one application on the second target edge node.

In some embodiments, the information processing apparatus 800 further includes: a creation unit 804, configured to:

Create a mirror warehouse, the mirror warehouse being used to deploy the at least one application;

Sending unit 803, also used for:

Deploy the at least one application program on the second target edge node through the mirror warehouse.

In some embodiments, the determining unit 802 is also used to:

For each application program in the at least one application program, determine at least one delay of the application program in the at least one edge node, and the at least one edge node corresponds to the at least one delay in a one-to-one manner;

From at least one edge node corresponding to the at least one delay, an edge node corresponding to a delay smaller than a set delay threshold is determined as the second target edge node.

In some embodiments, the determining unit 802 is also used to:

For each application program in the at least one application program, determine at least one energy consumption of the application program in the at least one edge node, and the at least one edge node corresponds to the at least one energy consumption in a one-to-one manner;

From at least one edge node corresponding to the at least one energy consumption, an edge node corresponding to an energy consumption less than a set energy consumption threshold is determined as the second target edge node.

In some embodiments, the delay includes: access delay and transmission delay, and the determining unit 802 is also used to:

At least one delay of the application in the at least one edge node is determined based on the access delay and the transmission delay.

In some embodiments, the resources that require coordination include: data resources, and the resource coordination instructions include: analyzing the data resources through the third target edge node;

Determining unit 802 is also used for:

The data resources are analyzed through the target edge node to obtain analysis results, and the analysis results are sent to the central node.

An embodiment of the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above information processing method is implemented.

Correspondingly, embodiments of the present application provide a storage medium, that is, a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the information processing method provided in the above embodiments is implemented.

It should be noted that the data processing system provided by the embodiment of the present application includes each included logical unit, which can be implemented by a processor in an electronic device; of course, it can also be implemented by a specific logic circuit; during the implementation process, the processing The processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MPU, MicroProcessor Unit), a digital signal processor (DSP, Digital Signal Processor) or a field programmable gate array (FPGA, Field-Programmable Gate Array) wait.

The description of the above system embodiment is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. For technical details not disclosed in the system embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

It should be noted that in the embodiment of the present application, if the above page display method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products that are essentially or contribute to related technologies. The computer software product is stored in a storage medium and includes a number of instructions to enable A computer device (which may be a personal computer, a server, or a network device, etc.) executes all or part of the methods described in various embodiments of this application. The aforementioned storage media include: U disk, mobile hard disk, read only memory (Read Only Memory, ROM), magnetic disk or optical disk and other various media that can store program codes. As such, embodiments of the present application are not limited to any specific combination of hardware and software.

It should be pointed out here that the above description of the storage medium embodiment is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. For technical details not disclosed in the storage medium embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

It should be noted that Figure 9 is a schematic diagram of a hardware entity of an electronic device according to an embodiment of the present application. As shown in Figure 9, the electronic device 900 includes: a processor 901, at least one communication bus 902, and at least one external communication interface. 904 and memory 905. Among them, the communication bus 902 is configured to implement connection communication between these components. In an example, the electronic device 900 further includes: a user interface 903, where the user interface 903 may include a display screen, and the external communication interface 904 may include a standard wired interface and a wireless interface.

The memory 905 is configured to store instructions and applications executable by the processor 901, and can also cache data to be processed or processed by the processor 901 and various modules in the electronic device (for example, image data, audio data, voice communication data and video communication data), which can be implemented through flash memory (FLASH) or random access memory (Random Access Memory, RAM).

It will be understood that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic associated with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of "in one embodiment" or "in some embodiments" in various places throughout this specification are not necessarily referring to the same embodiment. Furthermore, the particular features, structures or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of the present application, the size of the sequence numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its functions and internal logic, and should not be used in the embodiments of the present application. The implementation process constitutes any limitation. The above serial numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components may be combined, or can be integrated into another system, or some features can be ignored, or not implemented. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be electrical, mechanical, or other forms. of.

The units described above as separate components may or may not be physically separated; the components shown as units may or may not be physical units; they may be located in one place or distributed to multiple network units; Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, all functional units in the embodiments of the present application can be integrated into one processing unit, or each unit can be separately used as a unit, or two or more units can be integrated into one unit; the above-mentioned integration The unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed through hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the execution includes: The steps of the above method embodiment; and the aforementioned storage media include: mobile storage devices, read-only memory (Read Only Memory, ROM), magnetic disks or optical disks and other various media that can store program codes.

Alternatively, if the integrated units mentioned above in this application are implemented in the form of software function modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products that are essentially or contribute to related technologies. The computer software product is stored in a storage medium and includes a number of instructions to enable A computer device (which may be a personal computer, a server, or a network device, etc.) executes all or part of the methods described in various embodiments of this application. The aforementioned storage media include: mobile storage devices, ROMs, magnetic disks or optical disks and other media that can store program codes.

The above are only preferred embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in within the protection scope of the present invention.

Claims (11)

1. An information processing method, characterized in that it is applied to a cloud service platform, and the method includes: Receive a resource coordination instruction sent by the central node. The resource coordination instruction is used to instruct at least one edge node to perform resource coordination. The resource coordination instruction includes: resources that the at least one edge node needs to coordinate; Determine the target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination; Send the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction. 2. The method according to claim 1, wherein the resources requiring collaboration include: computing resources, and the target edge node includes: a first target edge node; Correspondingly, determining the target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination includes: According to the computing resources, a first target edge node among the at least one edge node that executes the resource coordination instruction is determined. 3. The method according to claim 1, wherein the resources requiring collaboration include: application collection resources, the application collection resources include: at least one application program, and the target edge node includes: a second Target edge node, the second target edge node is the same as or different from the first target edge node, and the resource collaboration instructions include: deploying the at least one application on the second target edge node; Correspondingly, determining the target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination includes: Determine a second target edge node among the at least one edge node that executes the resource coordination instruction according to the application collection resources; Correspondingly, sending the resource coordination instruction to the target edge node so that the target edge node executes the resource coordination instruction includes: Deploy the at least one application on the second target edge node. 4. The method according to claim 3, characterized in that the method further includes: Create a mirror warehouse, the mirror warehouse being used to deploy the at least one application; Correspondingly, deploying the at least one application on the second target edge node includes: Deploy the at least one application program on the second target edge node through the mirror warehouse. 5. The method according to claim 3, characterized in that the method further comprises: For each application program in the at least one application program, determine at least one delay of the application program in the at least one edge node, and the at least one edge node corresponds to the at least one delay in a one-to-one manner; Correspondingly, determining the second target edge node among the at least one edge node that executes the resource coordination instruction includes: From at least one edge node corresponding to the at least one delay, an edge node corresponding to a delay smaller than a set delay threshold is determined as the second target edge node. 6. The method according to claim 3, characterized in that, the method further comprises: For each application program in the at least one application program, determine at least one energy consumption of the application program in the at least one edge node, and the at least one edge node corresponds to the at least one energy consumption in a one-to-one manner; Correspondingly, determining the second target edge node among the at least one edge node that executes the resource coordination instruction includes: From at least one edge node corresponding to the at least one energy consumption, an edge node corresponding to an energy consumption less than a set energy consumption threshold is determined as the second target edge node. 7. The method according to claim 5, wherein the delay includes: access delay and transmission delay, and the determining of at least one delay of the application in the at least one edge node ,include: At least one delay of the application in the at least one edge node is determined based on the access delay and the transmission delay. 8. The method according to claim 1, wherein the resources requiring collaboration include: data resources, and the resource collaboration instructions include: analyzing the data resources through the third target edge node; Correspondingly, sending the resource coordination instruction to the target edge node so that the target edge node executes the resource coordination instruction includes: The data resources are analyzed through the target edge node to obtain analysis results, and the analysis results are sent to the central node. 9. An information processing device, characterized in that it is applied to a cloud service platform, and the device includes: An acquisition unit, configured to acquire resource coordination instructions, where the resource coordination instructions are used to instruct at least one edge node to perform resource coordination, where the resource coordination instructions include: resources that the at least one edge node needs to coordinate; A determining unit configured to determine a target edge node in the at least one edge node that executes the resource coordination instruction according to the resources that require coordination; A sending unit configured to send the resource coordination instruction to the target edge node, so that the target edge node executes the resource coordination instruction. 10. A storage medium storing a computer program, characterized in that when the computer program is executed by a processor, the information processing method according to any one of claims 1 to 8 is implemented. 11. An electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that when the processor executes the computer program, any one of claims 1 to 8 is realized. The information processing method described in one item.