An application and computing power network fusion method, system and electronic device

Abstract

The application discloses an application and computing power network fusion method and system, and electronic equipment. A user only needs to input scene information of an application to match computing power network resources meeting the application, and a charging method and rules based on different computing power network resources are provided. The user selects an application computing power network resource fusion charging model to realize charging according to the computing power network resources used by the application, reduces the difficulty of consumers in purchasing and using the computing power network resources, and is beneficial to the development of the computing power network application and the east-data-west-computing project.

Description

Technical Field

[0001] This application relates to the field of data processing, and in particular to a method, system, and electronic device for integrating applications with computing power networks. Background Technology

[0002] In the context of the construction of computing power networks and the launch of the East-to-West Computing Project, consumers need to be familiar with at least a dozen ICT terms and skills before they can purchase services, which restricts the development of computing power network applications and the East-to-West Computing Project. Summary of the Invention

[0003] In view of this, this application provides a method, system, and electronic device for integrating applications with computing power networks, the specific solutions of which are as follows:

[0004] A method for integrating applications with computing power networks, comprising:

[0005] Obtain application information for the application to be acquired;

[0006] A billing method and rules for at least one computing network resource that is adapted to the application information, obtained from the application and computing network fusion model.

[0007] Based on the billing method and rules of the at least one computing power network resource, the first computing power network resource among the at least one computing power network resources is selected;

[0008] The computing power is provided to the application to be acquired based on the rules of the first computing power network resources.

[0009] Furthermore, obtaining the application information of the application to be obtained includes:

[0010] Obtain the application attributes, service start date, and duration of the application to be acquired.

[0011] Furthermore, the billing method and rules for obtaining at least one computing network resource adapted to the application information from the application and computing network fusion model based on the application information include:

[0012] Based on the application information, at least different model parameters, computing network unit prices, influencing factors, and East-West computing deployment methods are matched between the application and the computing network fusion model, wherein the computing network resources are composed of at least one computing network unit;

[0013] A billing method and rules for at least one computing network resource adapted to the application information are obtained by matching different model parameters, computing network unit prices, impact factors, and East-West computing deployment methods to the application and computing network fusion model.

[0014] Furthermore, the billing method and rules based on the at least one computing power network resource for selecting the first computing power network resource from the at least one computing power network resource include:

[0015] The selection parameter values ​​for each type of computing power network resource are determined based on the weights of pre-set billing methods and rules;

[0016] A first computing power network resource is selected from the at least one computing power network resource based on the selection parameter value for each computing power network resource.

[0017] Furthermore, the billing method and rules based on the at least one computing power network resource for selecting the first computing power network resource from the at least one computing power network resource include:

[0018] Obtain the first computing network resource selected by the user based on the billing method and rules of the at least one computing network resource.

[0019] Furthermore, the billing method and rules for obtaining at least one computing network resource adapted to the application information from the application and computing network fusion model based on the application information include:

[0020] Determine whether an application and computing network fusion model matching the application information exists in the system;

[0021] If an application and computing network fusion model that matches the application information exists, then based on the application information, a billing method and rules for at least one computing network resource that is adapted to the application information are obtained from the output of the application and computing network fusion model.

[0022] If no application and computing network fusion model matches the application information, deep learning is performed based on the application information to obtain a trained application and computing network fusion model. Based on the application information, a billing method and rules for at least one computing network resource that is adapted to the application information are obtained from the output of the trained application and computing network fusion model.

[0023] An application and computing network fusion system includes:

[0024] The first acquisition unit is used to acquire application information of the application to be acquired.

[0025] The second obtaining unit is used to obtain a billing method and rules for at least one computing network resource that is adapted to the application information, based on the application information and output by the application and computing network fusion model.

[0026] The selection unit is used to select the first computing power network resource among the at least one computing power network resources based on the billing method and rules of the at least one computing power network resource;

[0027] A computing power providing unit is used to provide computing power to the application to be acquired based on the rules of the first computing power network resources.

[0028] Furthermore, the second obtaining unit is used for:

[0029] Based on the application information, at least different model parameters, computing network unit prices, impact factors, and East-to-West computing deployment methods are matched for the application and computing network fusion model, wherein the computing network resources are composed of at least one computing network unit; a billing method and rules are established to obtain at least one computing network resource adapted to the application information based on the different model parameters, computing network unit prices, impact factors, and East-to-West computing deployment methods matched for the application and computing network fusion model.

[0030] An electronic device, comprising:

[0031] A processor is configured to: obtain application information of an application to be acquired; obtain a billing method and rules for at least one computing power network resource adapted to the application information, output by an application-computing power network fusion model; select a first computing power network resource among the at least one computing power network resources based on the billing method and rules of the at least one computing power network resource; and provide computing power to the application to be acquired based on the rules of the first computing power network resource.

[0032] The memory is used to store the program used by the processor to execute the above-described processing procedure.

[0033] A readable storage medium for storing at least one set of instructions;

[0034] The instruction set is used to be invoked and to execute at least the application and computing network integration method described in any of the preceding items.

[0035] As can be seen from the above technical solutions, the application-computing network fusion method, system, and electronic device disclosed in this application obtains application information of the application to be obtained, obtains a billing method and rules for at least one computing network resource adapted to the application information from the application-computing network fusion model, selects a first computing network resource from at least one computing network resource based on the billing method and rules of the first computing network resource, and provides computing power to the application to be obtained based on the rules of the first computing network resource. In this solution, the user only needs to input the application's scenario information to match computing network resources that meet the application's needs, and provides the user with the option to select a computing network resource based on the billing methods and rules of different computing network resources. This enables the application to be provided with computing power through the selected computing network resource, reducing the difficulty for consumers to purchase and use computing network resources, and is conducive to the development of computing network applications and the East-West Computing Project. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart of an application and computing power network fusion method disclosed in an embodiment of this application;

[0038] Figure 2 This is a flowchart of an application and computing power network fusion method disclosed in an embodiment of this application;

[0039] Figure 3 This is a schematic diagram illustrating data transmission between various platforms using an application and computing network fusion method disclosed in an embodiment of this application.

[0040] Figure 4 This is a schematic diagram of an application and computing power network fusion model disclosed in an embodiment of this application;

[0041] Figure 5 This is a schematic diagram of an application and computing power network fusion model disclosed in an embodiment of this application;

[0042] Figure 6 This is a flowchart of an application and computing power network fusion method disclosed in an embodiment of this application;

[0043] Figure 7 This is a schematic diagram of the structure of an application and computing network fusion system disclosed in an embodiment of this application;

[0044] Figure 8 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] This application discloses a method for integrating applications with computing power networks, the flowchart of which is shown below. Figure 1 As shown, it includes:

[0047] Step S11: Obtain the application information of the application to be obtained;

[0048] Step S12: Obtain a billing method and rules for at least one computing network resource that is adapted to the application information based on the application information output by the application and computing network fusion model.

[0049] Step S13: Select the first computing power network resource from at least one computing power network resource based on the billing method and rules of at least one computing power network resource;

[0050] Step S14: Provide computing power to the application to be acquired based on the rules of the first computing power network resources.

[0051] In 2019, in response to the demands of 5G commercialization and edge computing networks, China Telecom and China Unicom proposed the concept of computing power networks. The goal is to make computing power like electricity and computing power networks like power grids. When users purchase computing power, they can use network resources, computing resources, and storage resources without having to worry about which network service provider or cloud service provider to use.

[0052] Computing power networks are a new type of integrated ICT infrastructure solution. By distributing network nodes' computing power, storage, and algorithm resources, combined with network information such as bandwidth and latency, they provide optimal resource allocation and network connectivity solutions for different customer needs, achieving optimal utilization of network resources. China Mobile has distilled its computing power network into eight key elements: ABCDNETS, corresponding to: Network, Cloud, Data, Intelligence, Security, Edge, Terminal, and Blockchain. This integration of East-West data and West-West computing drives the transformation of computing infrastructure and backbone transmission networks, creating a deeply integrated new information infrastructure centered on computing and based on the network.

[0053] "Eastern Data, Western Computing," a national strategic project launched in 2022, refers to the construction of national computing power hub nodes in eight regions: Beijing-Tianjin-Hebei, the Yangtze River Delta, the Guangdong-Hong Kong-Macau Greater Bay Area, Chengdu-Chongqing, Inner Mongolia, Guizhou, Gansu, and Ningxia. The western regions of Chengdu-Chongqing, Inner Mongolia, Guizhou, Gansu, and Ningxia serve as data computing locations, while the developed eastern regions of Beijing-Tianjin-Hebei, the Yangtze River Delta, and the Guangdong-Hong Kong-Macau Greater Bay Area are responsible for providing the data for computation. The computing power network is the infrastructure support for "Eastern Data, Western Computing."

[0054] Currently, while the construction of computing network infrastructure is in full swing, some problems still exist, such as: computing networks have not yet been closely integrated with industry applications to efficiently meet the business needs of enterprise computing networks. In other words, from the consumer's perspective, there are too many technical parameters, making it difficult to focus on actual application needs. The computing network resources associated with applications are too numerous, complex, and opaque, requiring a great deal of effort to understand different technical parameters, the advantages and disadvantages of different suppliers' computing networks, and the advantages and disadvantages of cloud service providers.

[0055] To address this issue, this solution involves the consumer inputting application-related information into the system. The system then matches and outputs suitable computing network resources based on an application-computing network fusion model. This enables the application to integrate with third-party multi-cloud management platforms, network orchestration and scheduling platforms, and operation and maintenance service platforms. Furthermore, the consumer can purchase computing network resources based on their selection of the output resources. These purchased resources then provide computing power to the application. This allows consumers to focus solely on the application without needing to consider issues such as where computing network resources are computed, how they are deployed, or how they are billed.

[0056] In the context of artificial intelligence, 5G, edge computing, new infrastructure, and East-to-West data computing, this solution can greatly promote the integration of computing power networks and East-to-West data computing projects into enterprise applications.

[0057] Specifically, the solution obtains application information for the desired applications. These applications refer to those that consumers can purchase and trade, such as video analytics and object recognition applications. Consumers do not need to understand ICT technologies; they only need to select the desired application. The solution automatically analyzes the application characteristics and matches existing vendors with service solutions, presenting different cost factors. Consumers simply confirm payment, and the system automatically integrates underlying orchestration, management, and network services to support the consumer's application.

[0058] Among them, convergence refers to the existing computing power network focusing on the integration of network, cloud, edge, and terminal.

[0059] Applications to be acquired, i.e., applications to be purchased and used, can include application name and parameter information in a narrow sense, or application requirements in a broad sense, such as video analysis quality applications, AI human recognition pre-training applications, data analysis applications, AR / VR applications, etc. Since many consumers lack real-time context, the application information entered can only be the application domain.

[0060] When the application information is an application requirement, the application information may include: application attributes, i.e., the application domain, and may also include the service start date and duration of the application, so as to facilitate the calculation of the price of computing network resources based on the service start date and duration.

[0061] Application information is input into the application and computing network fusion model to obtain a billing method and rules for at least one computing network resource adapted to the application information. This computing network resource consists of at least one computing network unit; that is, various types of computing network units can be packaged into different computing network resources. Each computing network resource may include computing units, storage units, network units, etc., from different vendors. The computing network resource can be: computing resources, storage resources, network resources, etc. The unit price of computing network units is the same for different application types.

[0062] After obtaining multiple computing network resources that are compatible with the application information, the first computing network resource is obtained based on the billing method and rules of each computing network resource, so that users can purchase the first computing network resource. Then, the system automatically deploys the application to the first computing network resource, thereby enabling the first computing network resource to provide computing power for the application.

[0063] When the first computing power network resources are determined and purchased, the application can be determined and purchased at the same time to facilitate the smooth operation of the service.

[0064] This embodiment discloses an application and computing network fusion method. It obtains application information of the application to be acquired, and based on this application information, obtains a billing method and rules for at least one computing network resource adapted to the application information, output by the application and computing network fusion model. Based on the billing method and rules of the at least one computing network resource, it selects a first computing network resource from the at least one computing network resource, and provides computing power to the application to be acquired based on the rules of the first computing network resource. In this solution, the user only needs to input the application information to match computing network resources that meet the application's needs. Furthermore, the user can select a computing network resource based on the billing methods and rules of different computing network resources, enabling the application to receive computing power through the selected computing network resource. This reduces the difficulty for consumers in purchasing and using computing network resources, and is beneficial to the development of computing network applications and the East-West data sharing project.

[0065] This embodiment discloses a method for integrating applications with computing power networks, the flowchart of which is shown below. Figure 2 As shown, it includes:

[0066] Step S21: Obtain the application information of the application to be obtained;

[0067] Step S22: Based on the application information, at least match different model parameters, computing network unit prices, influencing factors, and East-West computing deployment methods for the application and computing network fusion model;

[0068] Step S23: A billing method and rules for at least one computing network resource adapted to application information, based on matching different model parameters, computing network unit prices, impact factors, and East-West computing deployment methods to the application and computing network fusion model.

[0069] Step S24: Select the first computing power network resource from at least one computing power network resource based on the billing method and rules of at least one computing power network resource;

[0070] Step S25: Provide computing power to the application to be acquired based on the rules of the first computing power network resources.

[0071] After obtaining the application information, the system analyzes it to obtain various parameters for matching the application and computing network fusion model, such as model parameters, computing network unit price, impact factor, and East-West data deployment method. Based on the obtained model parameters, computing network unit price, impact factor, and East-West data deployment method, the system configures the application and computing network fusion model to obtain an application and computing network fusion model that matches the application information. This allows for the configuration of different computing network resources based on the application and computing network fusion model that matches the application information.

[0072] Among them, the impact factor can be the weight of different parameters in the model, such as the competition and cooperation relationship impact factor, the scarcity factor, the carbon emission factor, etc., so that the billing of the model can be adjusted by adjusting the impact factor.

[0073] After obtaining the application and computing network fusion model that matches the application information, the computing network resources that meet the application-computing network requirements are output based on the application and computing network fusion model that matches the application information. The output computing network resources include not only each computing network unit, but also the supplier's geographical location, service capacity, cost, parameters and details of each computing network unit. In this case, a computing network resource may include computing network units from different suppliers, or it may include computing network units from only one supplier.

[0074] The computing power network units include four types: general-purpose, enhanced (i.e., enhanced computing power and network bandwidth), accelerated (e.g., graphics processing units (GPUs), tensor processors (TPUs), etc.), and ultra-large (e.g., AI, supercomputing, etc.). The computing power network unit factor determines the computing power network units involved in encapsulating computing power network resources and the granularity of their types; this granularity includes general-purpose, enhanced, accelerated, and ultra-large types.

[0075] After the application and computing network fusion model that matches the application information outputs at least one computing network resource that meets the application-computing network requirements, if only one computing network resource is output, the computing network resource can be directly determined and purchased by the user. At this time, the system automatically deploys the application to the computing network resource so as to provide computing power to the application through the computing network resource.

[0076] The method disclosed in this embodiment needs to be implemented based on an application-computing network fusion rule engine, that is, to establish an application-computing network resource fusion rule engine for different applications, and to intelligently match the computing network resources of different suppliers through the rule engine and form an application-computing network resource fusion operator.

[0077] The Application-Computing-Network Fusion Operator API can provide application-computing-network fusion operator service interfaces for third-party collaborative platforms, multi-cloud management platforms, edge computing management platforms, etc., so that they can be embedded into existing platforms.

[0078] like Figure 3 The diagram shown illustrates the data transmission between various platforms using the application and computing network fusion method disclosed in this solution.

[0079] Consumers log in to the consumer platform and can then query or browse computing networks in the application and computing network intelligent fusion engine system. The relevant information about the computing networks that are browsed or queried is provided by the computing network fusion operation platform, the computing network edge service platform, or the computing network cloud service platform. The relevant information provided by each of the above platforms includes at least the following: the type, resource services, application services, parameters, and unit price of the computing network units provided by the supplier platform.

[0080] Consumers can input their application requirements into the application and computing power network intelligent fusion engine system, i.e., input the application information to be obtained. Based on the information input by the consumer, the application and computing power network intelligent fusion engine system obtains computing power network fusion information from the computing power network fusion operation platform, computing power network edge service platform, or computing power network cloud service platform, i.e., the parameters of the application and computing power network fusion model that match the application information. Then, it calls different vendor solution model APIs from the computing power network fusion operation platform, computing power network edge service platform, or computing power network cloud service platform, i.e., computing power network resources. This API may be a cloud service provider's management platform API, an edge service provider's management platform API, or a software vendor's algorithm function API, etc. After obtaining the solution model APIs pushed by the above platforms, the application and computing power network intelligent fusion engine system will output multiple obtained solution model APIs to recommend suitable vendor combinations, solutions, prices, deployment plans, etc.

[0081] Subsequently, in the application and computing power network intelligent fusion engine system, based on the transaction of the first computing power network resource determined from multiple solution model APIs (i.e., from multiple computing power network resources), the service of the first computing power network resource is purchased, enabling the application to be provided with computing power through the first computing power network resource. After the transaction is completed, the application is provided with services such as service status and fault reminders through the computing power network fusion operation platform, computing power network edge service platform, or computing power network cloud service platform. In addition, the application and computing power network intelligent fusion engine can evaluate the computing power network fusion operation platform, computing power network edge service platform, or computing power network cloud service platform and provide the evaluation results.

[0082] Furthermore, the schematic diagram of the application and computing power network fusion model in this embodiment can be shown as follows: Figure 4As shown, it includes: a consumer application intelligent parsing model and various network platforms associated with the consumer application intelligent parsing model through the application-computing power network fusion operator API. Each network platform includes at least: a multi-cloud management platform, a multi-edge computing management platform, a multi-orchestration control platform, and other third-party computing network resource platforms.

[0083] The consumer application intelligent analysis model includes: a computing power network user classification module, a national economic industry classification module, a computing power network unit measurement module, an application-computing network resource billing model, and a price calculation module.

[0084] The user categories for computing power networks include at least: industrial users, residential users, commercial users, agricultural users, government and enterprise users, and others; the national economic sector classification includes at least: industrial computing power network units, residential computing power network units, commercial computing power network units, agricultural computing power network units, government and enterprise computing power network units, and other computing power network units. The national economic sector classification specifies the corresponding price for each type of computing power network unit, such as the price of industrial computing power network units and the price of residential computing power network units.

[0085] The computing power network unit measurement module is used to determine the number of each type of computing power network unit, such as the number of industrial computing power network units and the number of commercial computing power network units. The application-computing network resource billing model determines the corresponding calculation formula for different types of national economic industry classifications. For example, if it is an industrial computing power network unit, the industrial calculation formula is used; if it is a residential computing power network unit, the residential calculation formula is used; if it is a commercial computing power network unit, the commercial calculation formula is used; if it is an agricultural computing power network unit, the agricultural calculation formula is used; if it is a government and enterprise computing power network unit, the government and enterprise calculation formula is used; if it is another type of computing power network unit, the other calculation formula is used.

[0086] For the price calculation module, the basic cost of computing network resources can be calculated using the following formula:

[0087] Basic cost of computing network resources = (Number of computing network units * Price of computing network unit) * Computing network unit factor + Application basic price * Application factor

[0088] The CPU, GPU, TPU, storage, bandwidth, application base price, and computing power network unit factor are all standardized to ensure fairness. Since different vendors and applications offer varying computing power network resources, this translates to different prices for computing power network units. Different industries consume different numbers of computing power network units, and the specific calculations are performed by the system. Users only need to select the computing power network resources, i.e., the cost and quantity of computing power network units, greatly simplifying the process for consumers.

[0089] The integration of computing power network applications and computing networks requires first analyzing consumer application scenarios and converting them into computing power network resources and East-to-West computing strategies. Application factors are used to enhance the flexibility of the computing power network billing model. When integrating computing power network applications and computing networks, the unit price of computing power network should be priced in a unified manner, with each supplier using a unified conversion method and unit, such as using FLOPS as the unified computing unit, to enhance the fairness, transparency, and ease of supervision of computing power network pricing.

[0090] Based on this, when purchasing computing power networks, consumers only need to focus on the application. The system intelligently matches the application-computing network resource integration model, converts the billing mode, and can display detailed costs, including: the unit price of computing power network units, the computing power network units to be purchased, and simplified purchase parameters.

[0091] like Figure 5 As shown, this is another representation of the application-computing network fusion model. Based on the knowledge graph, the application-computing network resource fusion RETE network first inputs the application scenario into the root node of the model, that is, inputs the application information into the root node of the model. Then, it matches the computing network unit strategy of East Data West Computing. The output strategy is input into the computing unit, storage unit, network unit and application influence factor respectively. The strategy of computing unit, storage unit and application influence factor is directly input into the application-East Data West Computing matching rule knowledge base. The strategy input into the network unit is combined after passing through large connection, bandwidth, latency and jitter respectively. Then the combined data is input into the application-East Data West Computing matching to obtain the final output computing network resources.

[0092] This embodiment discloses an application and computing network fusion method. It obtains application information of the application to be acquired, and based on this application information, obtains a billing method and rules for at least one computing network resource adapted to the application information, output by the application and computing network fusion model. Based on the billing method and rules of the at least one computing network resource, it selects a first computing network resource from the at least one computing network resource, and provides computing power to the application to be acquired based on the rules of the first computing network resource. In this solution, the user only needs to input the application information to match computing network resources that meet the application's needs. Furthermore, the user can select a computing network resource based on the billing methods and rules of different computing network resources, enabling the application to receive computing power through the selected computing network resource. This reduces the difficulty for consumers in purchasing and using computing network resources, and is beneficial to the development of computing network applications and the East-West data sharing project.

[0093] This embodiment discloses a method for integrating applications with computing power networks, the flowchart of which is shown below. Figure 6 As shown, it includes:

[0094] Step S61: Obtain the application information of the application to be obtained;

[0095] Step S62: Determine whether there is an application and computing network fusion model in the system that matches the application information;

[0096] Step S63: If it exists, then based on the application information, obtain at least one billing method and rule for computing network resources that are adapted to the application information and output by the application and computing network fusion model.

[0097] Step S64: If it does not exist, perform deep learning based on the application information to obtain the application and computing power network fusion model after model training, and obtain the billing method and rules of at least one computing power network resource that is adapted to the application information based on the application information output by the application and computing power network fusion model.

[0098] Step S65: Select the first computing power network resource from at least one computing power network resource based on the billing method and rules of at least one computing power network resource;

[0099] Step S66: Provide computing power to the application to be acquired based on the rules of the first computing power network resources.

[0100] After obtaining application information, the type or attribute of the application can be determined based on the application information, thereby determining whether there is an application-computing network fusion model in the system that matches the type or attribute of the application.

[0101] For example, if the application is determined to be an industrial program based on application information, it is necessary to determine whether there is an industrial application and computing network fusion model in the system, i.e., an industrial calculation formula. If there is an industrial application and computing network fusion model in the system, the computing network resources and their rules can be determined directly based on the industrial application and computing network fusion model, and the billing method for computing network resources can be calculated. If there is no industrial application and computing network fusion model in the system, deep learning is required to obtain the industrial application and computing network fusion model, so that computing network resources can be output based on the industrial application and computing network fusion model.

[0102] If no application and computing network fusion model that matches the application information exists in the system, the system will automatically perform deep learning to obtain a usable application and computing network fusion model.

[0103] Furthermore, after outputting the billing method and rules for computing network resources through the application and computing network fusion model adapted to the application information, it is necessary to select one of at least one computing network resource for purchase. If there is only one computing network resource output by the application and computing network fusion model, the computing network resource will be directly pushed to the consumer so that the consumer can purchase and use it directly.

[0104] If the application and the computing power network fusion model outputs more than one type of computing power network resource, then it is necessary to select one of the multiple computing power network resources for purchase and use. At this time, the system can directly display the billing methods and rules of the multiple computing power network resources output by the application and the computing power network fusion model, so that users can select one as the first computing power network resource for purchase based on the billing methods and rules of each computing power network resource.

[0105] Alternatively, the system can automatically select one of various computing power network resources as the primary computing power network resource and display it to the user so that the user can directly purchase and use it.

[0106] Specifically, weights are pre-set for the billing methods and rules of computing network resources. The weights of the billing methods and rules of different computing network resources are the same. Then, the selection parameter value of each computing network resource is determined based on the pre-set weights of the billing methods and rules. Based on the selection parameter value, one of the multiple computing network resources is selected as the first computing network resource.

[0107] This approach eliminates the need for user selection; users simply need to set weights for the system to make automatic selections, simplifying the user experience.

[0108] This embodiment discloses an application and computing network fusion method. It obtains application information of the application to be acquired, and based on this application information, obtains a billing method and rules for at least one computing network resource adapted to the application information, output by the application and computing network fusion model. Based on the billing method and rules of the at least one computing network resource, it selects a first computing network resource from the at least one computing network resource, and provides computing power to the application to be acquired based on the rules of the first computing network resource. In this solution, the user only needs to input the application information to match computing network resources that meet the application's needs. Furthermore, the user can select a computing network resource based on the billing methods and rules of different computing network resources, enabling the application to receive computing power through the selected computing network resource. This reduces the difficulty for consumers in purchasing and using computing network resources, and is beneficial to the development of computing network applications and the East-West data sharing project.

[0109] This embodiment discloses an application and computing network fusion system, the structural diagram of which is shown below. Figure 7 As shown, it includes:

[0110] The system comprises a first acquisition unit 71, a second acquisition unit 72, a selection unit 73, and a computing power provision unit 74.

[0111] The first obtaining unit 71 is used to obtain application information of the application to be obtained;

[0112] The second obtaining unit 72 is used to obtain a billing method and rules for at least one computing network resource that is adapted to the application information and is output by the application and computing network fusion model based on application information.

[0113] Selection unit 73 is used to select a first computing power network resource among at least one computing power network resources based on the billing method and rules of at least one computing power network resource;

[0114] The computing power providing unit 74 is used to provide computing power to the application to be acquired based on the rules of the first computing power network resources.

[0115] Furthermore, the first obtaining unit is used for:

[0116] Obtain the application attributes, service start date, and duration of the application to be acquired.

[0117] Furthermore, the second obtaining unit is used for:

[0118] Based on application information, at least one different model parameter, computing network unit price, impact factor, and East-to-West computing deployment method are matched for the application and computing network fusion model, wherein the computing network resource is composed of at least one computing network unit; a billing method and rules are established to obtain at least one computing network resource adapted to the application information based on the different model parameter, computing network unit price, impact factor, and East-to-West computing deployment method matched for the application and computing network fusion model.

[0119] Furthermore, the selection unit is used for:

[0120] The selection parameter value for each computing power network resource is determined based on the weight of the pre-set billing method and rules; the first computing power network resource is selected from at least one computing power network resource based on the selection parameter value for each computing power network resource.

[0121] Furthermore, the selection unit is used for:

[0122] Obtain the first computing network resource selected by the user based on the billing method and rules of at least one computing network resource.

[0123] Furthermore, the second obtaining unit is used for:

[0124] Determine whether an application-computing network fusion model matching the application information exists in the system; if such a model exists, obtain a billing method and rules for at least one computing network resource adapted to the application information, based on the application information; if no model exists, perform deep learning based on the application information to obtain a trained application-computing network fusion model, and obtain a billing method and rules for at least one computing network resource adapted to the application information, based on the application information.

[0125] The application and computing power network fusion system disclosed in this embodiment is implemented based on the application and computing power network fusion method disclosed in the above embodiment, and will not be described again here.

[0126] This embodiment discloses an application and computing network fusion system that obtains application information of the application to be acquired, obtains a billing method and rules for at least one computing network resource adapted to the application information from the application and computing network fusion model, selects a first computing network resource from the at least one computing network resource based on the billing method and rules of the first computing network resource, and provides computing power to the application to be acquired based on the rules of the first computing network resource. In this solution, the user only needs to input the application information to match the computing network resources that meet the application's needs, and enables the user to select a computing network resource based on the billing methods and rules of different computing network resources. This allows the selected computing network resource to provide computing power to the application, reducing the difficulty for consumers to purchase and use computing network resources, and is conducive to the development of computing network applications and the East-West data sharing project.

[0127] This embodiment discloses an electronic device, the structural schematic diagram of which is shown below. Figure 8 As shown, it includes:

[0128] Processor 81 and memory 82.

[0129] The processor 81 is used to obtain application information of the application to be obtained; obtain a billing method and rules for at least one computing network resource that is adapted to the application information based on the application information and the output of the application and computing network fusion model; select a first computing network resource among at least one computing network resource based on the billing method and rules of at least one computing network resource; and provide computing power to the application to be obtained based on the rules of the first computing network resource.

[0130] The memory 82 is used to store the program for the processor to execute the above processing procedure.

[0131] The electronic device disclosed in this embodiment is implemented based on the application and computing network fusion method disclosed in the above embodiments, and will not be described again here.

[0132] The electronic device disclosed in this embodiment obtains application information of the application to be acquired, obtains a billing method and rules for at least one computing network resource adapted to the application information from the application-computing network fusion model, selects a first computing network resource from the at least one computing network resource based on the billing method and rules of the at least one computing network resource, and provides computing power to the application to be acquired based on the rules of the first computing network resource. In this solution, the user only needs to input the application information to match the computing network resource that meets the application's needs, and enables the user to select a computing network resource based on the billing methods and rules of different computing network resources, so as to provide computing power to the application through the selected computing network resource. This reduces the difficulty for consumers to purchase and use computing network resources, and is conducive to the development of computing network applications and the East-West Computing Project.

[0133] This application embodiment also provides a readable storage medium storing a computer program, which is loaded and executed by a processor to implement the steps of the above-described application and computing network fusion method. The specific implementation process can be referred to the description of the corresponding part of the above embodiment, and will not be repeated in this embodiment.

[0134] This application also proposes a computer program product or computer program that includes computer instructions stored in a computer-readable storage medium. The processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the methods provided in the various optional implementations of the above-described application-computing-network convergence method or application-computing-network convergence system. Specific implementation processes can be referred to the descriptions of the corresponding embodiments above, and will not be repeated here.

[0135] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0136] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0137] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0138] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for integrating applications with computing power networks, characterized in that, include: Obtain application information for the application to be acquired; A billing method and rules for at least one computing network resource that is adapted to the application information, obtained from the application and computing network fusion model. The billing method and rules based on the at least one computing power network resource select a first computing power network resource from the at least one computing power network resource; wherein, after the application information is input into the root node of the application and computing power network fusion model, the computing power network unit strategy of East-West Computing is matched, and the output strategy is input into the computing power unit, storage unit, network unit and application impact factor respectively. The strategy input into the network unit is combined after passing through large connections, bandwidth, latency and jitter respectively, and the combined data is input into the application-East-West Computing matching rule knowledge base. In addition, the strategies input into the computing power unit, storage unit and application impact factor are input into the application-East-West Computing matching rule knowledge base to obtain the output computing power network resource; and computing power is provided to the application to be obtained based on the rules of the first computing power network resource.

2. The method according to claim 1, characterized in that, The process of obtaining the application information of the application to be obtained includes: Obtain the application attributes, service start date, and duration of the application to be acquired.

3. The method according to claim 1, characterized in that, The billing method and rules for obtaining at least one computing network resource adapted to the application information from the application and computing network fusion model based on the application information include: Based on the application information, at least different model parameters, computing network unit prices, influencing factors, and East-West computing deployment methods are matched between the application and the computing network fusion model, wherein the computing network resources are composed of at least one computing network unit; A billing method and rules for at least one computing network resource adapted to the application information are obtained by matching different model parameters, computing network unit prices, impact factors, and East-West computing deployment methods to the application and computing network fusion model.

4. The method according to claim 1, characterized in that, The billing method and rules based on the at least one computing power network resource select the first computing power network resource from the at least one computing power network resource, including: The selection parameter values ​​for each type of computing power network resource are determined based on the weights of pre-set billing methods and rules; A first computing power network resource is selected from the at least one computing power network resource based on the selection parameter value for each computing power network resource.

5. The method according to claim 1, characterized in that, The billing method and rules based on the at least one computing power network resource select the first computing power network resource from the at least one computing power network resource, including: Obtain the first computing network resource selected by the user based on the billing method and rules of the at least one computing network resource.

6. The method according to claim 1, characterized in that, The billing method and rules for obtaining at least one computing network resource adapted to the application information from the application and computing network fusion model based on the application information include: Determine whether an application and computing network fusion model matching the application information exists in the system; If an application and computing network fusion model that matches the application information exists, then based on the application information, a billing method and rules for at least one computing network resource that is adapted to the application information are obtained from the output of the application and computing network fusion model. If no application and computing network fusion model matches the application information, deep learning is performed based on the application information to obtain a trained application and computing network fusion model. Based on the application information, a billing method and rules for at least one computing network resource that is adapted to the application information are obtained from the output of the trained application and computing network fusion model.

7. A system integrating applications and computing power networks, characterized in that, include: The first acquisition unit is used to acquire application information of the application to be acquired. The second obtaining unit is used to obtain a billing method and rules for at least one computing network resource that is adapted to the application information, based on the application information and output by the application and computing network fusion model. The selection unit is used to select the first computing power network resource among the at least one computing power network resources based on the billing method and rules of the at least one computing power network resource; wherein, after the application information is input to the root node of the application and computing power network fusion model, the computing power network unit strategy of East Data West Computing is matched, and the output strategy is input to the computing power unit, storage unit, network unit and application impact factor respectively. The strategy input to the network unit is combined after passing through large connection, bandwidth, latency and jitter respectively, and the combined data is input to the application-East Data West Computing matching rule knowledge base. In addition, the strategies input to the computing power unit, storage unit and application impact factor are input to the application-East Data West Computing matching rule knowledge base to obtain the output computing power network resource. A computing power providing unit is used to provide computing power to the application to be acquired based on the rules of the first computing power network resources.

8. The system according to claim 7, characterized in that, The second obtaining unit is used for: Based on the application information, at least different model parameters, computing network unit prices, impact factors, and East-to-West computing deployment methods are matched for the application and computing network fusion model, wherein the computing network resources are composed of at least one computing network unit; a billing method and rules are established to obtain at least one computing network resource adapted to the application information based on the different model parameters, computing network unit prices, impact factors, and East-to-West computing deployment methods matched for the application and computing network fusion model.

9. An electronic device, characterized in that, include: The processor is used to obtain application information about the application to be acquired. Based on the application information, a billing method and rules are obtained for at least one computing network resource that is adapted to the application information, output by the application and computing network fusion model. Based on the billing method and rules for the at least one computing network resource, a first computing network resource is selected from the at least one computing network resource. Specifically, after inputting the application information into the root node of the application and computing network fusion model, the computing network unit strategy of East-West Computing is matched. The output strategy is input into the computing unit, storage unit, network unit, and application impact factor, respectively. The strategy input into the network unit is combined after passing through large connections, bandwidth, latency, and jitter, and the combined data is input into the application-East-West Computing matching rule knowledge base. Furthermore, the strategies input into the computing unit, storage unit, and application impact factor are also input into the application-East-West Computing matching rule knowledge base to obtain the output computing network resource. Based on the rules of the first computing network resource, computing power is provided to the application to be obtained. The memory is used to store the program used by the processor to execute the above-described processing procedure.

10. A readable storage medium for storing at least one set of instructions; The instruction set is used to be invoked and to execute at least the method of application and computing network integration as described in any one of claims 1-6.

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