Business processing method and device, electronic equipment and computer readable storage medium
Through the operation management layer, orchestration and scheduling management layer, trading market management layer and capacity aggregation layer of the HAIOS system, the target business solutions are generated and deployed, and the problem that business solutions in the existing technology cannot meet user needs is solved, achieving higher satisfaction Sex and flexibility.
Patent Information
- Application Number
- CN202411181458.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-27
- Publication Date
- 2024-12-13
AI Technical Summary
During the business processing process of existing computing network brains, the business solutions generated by the existing computing network brain cannot effectively meet user needs, resulting in poor satisfaction.
The systematic artificial intelligence operating system HAIOS is adopted, including the operation management layer, the orchestration management layer, the trading market management layer and the capability aggregation layer. By receiving user business requests, the target business plan is generated and deployed to ensure that the plan is in line with user needs.
It improves the satisfaction of business solutions to user needs, and generates more suitable business solutions through ability retrieval and decision-making, which improves the flexibility and efficiency of deployment.
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Figure CN119127957A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of information processing technology, and in particular to a business processing method, device, electronic device and computer-readable storage medium. Background Art
[0002] The computing network brain is a system that uniformly arranges, dispatches, manages, and operates computing network resources and capability elements, and can maximize the computing network's computing power supply capacity, data processing capacity, network connectivity, and business supply capacity, and realize task-based services. As the "intelligent center" of the entire computing network system, the computing network brain is a key system for the symbiotic development of computing networks (computing power and networks). Through the unified arrangement, dispatching, management, and operation of computing power and network resources, it integrates data and intelligence, realizes the cross-layer and cross-regional integration of ubiquitous computing power, and the cross-domain and cross-professional integration of the network, and realizes the supply of multi-factor fusion capabilities and computing network integrated service support.
[0003] However, when conducting business through the existing computing network brain, the user's business needs for the required capabilities are first obtained, mainly based on the business scale and real-time requirement indicator parameters, and the corresponding business plan is generated and deployed. This can easily lead to the deployed business plan being unable to meet the user's business needs, that is, the business plan has poor satisfaction with user needs. Summary of the invention
[0004] The embodiments of the present application provide a business processing method, device, electronic device, computer-readable storage medium, and computer program product to solve the problem that existing business methods are poor in meeting user needs.
[0005] To solve the above technical problems, this application is implemented as follows:
[0006] In a first aspect, an embodiment of the present application provides a service processing method, the method comprising:
[0007] Receiving a user service request, wherein the user service request carries a service requirement of a required capability;
[0008] Based on the user's business request, a target business solution is generated through the systematic artificial intelligence operating system HAIOS, and the target business solution is deployed;
[0009] Among them, the HAIOS includes an operation management layer, an orchestration and scheduling management layer, a transaction market management layer and a capability aggregation layer; the operation management layer is used to generate a business order based on the user business request, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to perform capability retrieval on the required capability, the orchestration and scheduling management layer is used to generate the target business plan based on the capability decision result of the required capability and send a deployment request to the provider of the capability decision result, the deployment request is used to request the provider to deploy the target business plan, and the capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
[0010] In a second aspect, an embodiment of the present application provides a service processing device, the device comprising:
[0011] A first receiving module is used to receive a user service request, wherein the user service request carries a service requirement of a required capability;
[0012] A business processing module, used to generate a target business solution through the systematic artificial intelligence operating system HAIOS based on the user business request, and deploy the target business solution;
[0013] Among them, the HAIOS includes an operation management layer, an orchestration and scheduling management layer, a transaction market management layer and a capability aggregation layer; the operation management layer is used to generate a business order based on the user business request, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to perform capability retrieval on the required capability, the orchestration and scheduling management layer is used to generate the target business plan based on the capability decision result of the required capability and send a deployment request to the provider of the capability decision result, the deployment request is used to request the provider to deploy the target business plan, and the capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
[0014] In a third aspect, an embodiment of the present application provides an electronic device, including a transceiver and a processor.
[0015] The processor is configured to:
[0016] Receiving a user service request, wherein the user service request carries a service requirement of a required capability;
[0017] Based on the user's business request, a target business solution is generated through the systematic artificial intelligence operating system HAIOS, and the target business solution is deployed;
[0018] Among them, the HAIOS includes an operation management layer, an orchestration and scheduling management layer, a transaction market management layer and a capability aggregation layer; the operation management layer is used to generate a business order based on the user business request, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to perform capability retrieval on the required capability, the orchestration and scheduling management layer is used to generate the target business plan based on the capability decision result of the required capability and send a deployment request to the provider of the capability decision result, the deployment request is used to request the provider to deploy the target business plan, and the capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
[0019] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program implements the steps of the above-mentioned business processing method when executed by the processor.
[0020] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned business processing method are implemented.
[0021] In this embodiment, the user service request carries the service demand of the required capability. Based on the user service request, a target service plan can be generated and deployed. Moreover, the target service plan is generated and deployed through HAIOS. HAIOS includes an operation management layer, an orchestration and scheduling management layer, a trading market management layer and a capability aggregation layer. The operation management layer can generate a service order based on the user service request. The trading market management layer can be used for capability decision-making. The capability aggregation layer can be used for capability retrieval of the required capability. The orchestration and scheduling management layer can generate the target service plan corresponding to the service demand and send a deployment request to the provider of the capability decision result of the required capability. The deployment request is used to request the provider to deploy the target service plan, that is, to complete the deployment of the target service plan. Moreover, the capability decision result is: the capability decision is made through the trading market management layer, and the capability is decided in the capability retrieval result of the required capability. In this way, the generated target business plan is not only adapted to user needs, but also can perform capability retrieval and make capability decisions in the capability retrieval results, generate the target business plan based on the capability decision results, and complete the deployment of the target business plan. This can improve the adaptability of the target business plan to user business needs, that is, improve the satisfaction of the target business plan with user business needs. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0023] Figure 1 It is a flow chart of a business processing method provided by an embodiment of the present application;
[0024] Figure 2 It is a diagram of the functional architecture of the computing network brain;
[0025] Figure 3 This is one of the overall functional architecture diagrams of HAIOS provided in the embodiments of the present application;
[0026] Figure 4 This is an operation management layer architecture diagram provided in an embodiment of the present application;
[0027] Figure 5 This is a functional architecture diagram of an orchestration and scheduling management module provided in an embodiment of the present application;
[0028] Figure 6 This is a functional architecture diagram of a trading market management module provided in an embodiment of the present application;
[0029] Figure 7 It is a schematic diagram of a logical interface in a HAIOS architecture provided in an embodiment of the present application;
[0030] Figure 8 It is an interaction diagram of a business processing method provided in an embodiment of the present application;
[0031] Fig. 9 This is the second overall architecture diagram of a HAIOS system provided in an embodiment of the present application;
[0032] Fig.10 It is a structural diagram of an orchestration management Agent provided in an embodiment of the present application;
[0033] Fig.11 It is a structural diagram of a scheduling and deployment Agent provided in an embodiment of the present application;
[0034] Fig.12 It is a structural diagram of a task management Agent provided in an embodiment of the present application;
[0035] Fig.13 This is a structural diagram of an auction host Agent provided in an embodiment of the present application;
[0036] Fig.14It is an auction planning decision Agent diagram provided by an embodiment of the present application;
[0037] Fig.15 It is a module schematic diagram of a service processing device provided in an embodiment of the present application;
[0038] Fig.16 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0039] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0040] See also Figure 1 , Figure 1 1 is a flow chart of a service processing method provided by an embodiment of the present application, which can be applied to an electronic device, wherein the electronic device can be a terminal or a server, etc. Figure 1 As shown, the service processing method provided in this embodiment includes the following steps:
[0041] Step 101: Receive a user service request, which carries a service requirement of required capabilities.
[0042] For example, an interface for interacting with a user may be provided. Different users may have different service requirements. Through the interface, the user can order services. The user can enter the required capabilities and service requirements in the interface. The user service request can also be called a user service order request. For example, in one example, the required capabilities may include at least one of artificial intelligence (AI) capabilities, computing power resource capabilities (also called computing power capabilities or computing power resources), and network resource capabilities (also called network capabilities or network resources). The service requirements of the required capabilities may include the service requirements of each of the at least one capability.
[0043] Step 102: Based on the user's service request, a target service solution is generated through the systematic artificial intelligence operating system HAIOS, and the target service solution is deployed;
[0044] Among them, the Holistic Artificial Intelligence Operation System (HAIOS) includes an operation management layer, an orchestration and scheduling management layer, a trading market management layer and a capability aggregation layer; the operation management layer is used to generate business orders based on user business requests, the trading market management layer is used for capability decision-making, the capability aggregation layer is used to retrieve the required capabilities, the orchestration and scheduling management layer is used to generate target business plans based on the capability decision results of the required capabilities and send deployment requests to the providers of the capability decision results. The deployment request is used to request the provider to deploy the target business plan. The capability decision result is: the capability determined in the capability retrieval results of the required capabilities through capability decision.
[0045] It should be understood that for a certain capability, there may be multiple providers providing the capability. For example, for the AI capabilities among the required capabilities (such as video processing capabilities, image recognition capabilities, etc.), taking image recognition capabilities as an example, provider X provides an image recognition capability based on image recognition algorithm x, provider Y provides another image recognition capability based on image recognition algorithm y, and provider Z provides another image recognition capability based on image recognition algorithm z. Through the present application, HAIOS can search and match image recognition capabilities, and the capability retrieval results may include the above three image recognition capabilities. Subsequently, the capability selected by the transaction market management in the capability retrieval results can be obtained, that is, the capability decision result can be obtained. For example, if the image recognition capability based on image recognition algorithm x is selected from the above three image recognition capabilities, then the capability decision result is the image recognition capability based on image recognition algorithm x.
[0046] In this embodiment, the user service request carries the service demand of the required capability. Based on the user service request, a target service plan can be generated and deployed. Moreover, the target service plan is generated and deployed through HAIOS. HAIOS includes an operation management layer, an orchestration and scheduling management layer, a trading market management layer and a capability aggregation layer. The operation management layer can generate a service order based on the user service request. The trading market management layer can be used for capability decision-making. The capability aggregation layer can be used for capability retrieval of the required capability. The orchestration and scheduling management layer can generate the target service plan corresponding to the service demand and send a deployment request to the provider of the capability decision result of the required capability. The deployment request is used to request the provider to deploy the target service plan, that is, to complete the deployment of the target service plan. Moreover, the capability decision result is: the capability decision is made through the trading market management layer, and the capability is decided in the capability retrieval result of the required capability. In this way, the generated target business plan is not only adapted to user needs, but also can perform capability retrieval and make capability decisions in the capability retrieval results, generate the target business plan based on the capability decision results, and complete the deployment of the target business plan. This can improve the adaptability of the target business plan to user business needs, that is, improve the satisfaction of the target business plan with user business needs.
[0047] In one embodiment, based on the user's service request, a target service solution is generated through the systematic artificial intelligence operating system HAIOS, and the target service solution is deployed, including:
[0048] Generate business orders based on user business requests through the operation management layer;
[0049] The orchestration and scheduling management layer analyzes the business order requirements and generates a business test plan, which includes the required capability requirements.
[0050] Send capability retrieval request to capability aggregation layer through orchestration scheduling management layer;
[0051] The capability aggregation layer searches for the required capabilities based on the capability search request, and obtains capability search results that match the required capabilities;
[0052] Through the orchestration and scheduling management layer, the transaction market management layer, and the capability aggregation layer, the capability decision result of the required capability is determined in the capability search results;
[0053] The orchestration scheduling management layer generates a target business plan based on the capability decision result of the required capability, and sends a deployment request to the provider of the capability decision result of the required capability.
[0054] It should be understood that the requirement information of the required capabilities can also be referred to as the specification requirements of the required capabilities. For example, the requirement information for AI capabilities may include but is not limited to the precision requirements and accuracy requirements for AI capabilities. The requirement information for computing resource capabilities may include but is not limited to the CPU processing power requirements, storage requirements, and memory requirements. The requirement information for network resource capabilities may include but is not limited to bandwidth requirements and latency requirements.
[0055] In this embodiment, through the corresponding processing of each layer in the operation management layer, orchestration and scheduling management layer, transaction market management layer and capability aggregation layer in HAIOS and the interaction between each layer, the generation and deployment of the target business plan are realized to improve the satisfaction of the target business plan with user needs.
[0056] In some embodiments, the capability decision result of the required capability is determined in the capability search result by arranging the scheduling management layer, the transaction market management layer, and the capability aggregation layer, including:
[0057] Send a capacity bidding request to the trading market management layer through the orchestration and scheduling management layer;
[0058] Based on the bidding request, the transaction market management layer sends a bidding request to the capability aggregation layer. The bidding request is used to request the capability aggregation layer to notify the provider of each capability in the capability search result to bid.
[0059] The capability aggregation layer sends the bidding result of each capability in the capability retrieval result to the trading market management layer based on the bidding request;
[0060] The transaction market management layer makes a capability decision based on the bidding result of each capability in the capability retrieval result, determines the capability decision result, and sends the bidding result of the capability decision result to the orchestration and scheduling management layer.
[0061] That is, since for a certain capability, there may be multiple different providers that can provide the capability, but different providers have different quotes for the capability. In order to save costs, the embodiment of the present application may conduct a capability auction, so that the bidding results of the providers of each capability in the capability retrieval results can be obtained. For example, for the AI capability of image recognition, the bidding result of provider X is X1, the bidding result of provider Y is Y1, and the bidding result of provider Z is Z1. In this way, the transaction market management layer makes a capability decision based on the bidding results of each capability in the capability retrieval results to determine the capability decision result. For example, as shown in the example above, X1<Y1<Z1. In order to save costs, the image recognition capability based on the image recognition algorithm x provided by provider X can be selected, that is, for the AI capability of image recognition, the corresponding capability decision result is the image recognition capability based on the image recognition algorithm x. For each capability in the capability retrieval results, a similar process can be used to determine the corresponding capability decision result.
[0062] In some embodiments, generating a target business solution based on a capability decision result of the required capability by the orchestration scheduling management layer, and sending a deployment request to a provider of the capability decision result of the required capability include:
[0063] Generate a business execution plan by orchestrating the bidding results of the scheduling management layer based on the capability decision results, and send the business execution plan to the operation management layer;
[0064] When the orchestration and scheduling management layer receives the user's confirmation information on the business execution plan sent by the operation management layer, a target business plan is generated based on the business execution plan;
[0065] Send a deployment request to the provider of the capability decision result.
[0066] That is, in this implementation, the business execution plan can be first generated by the orchestration and scheduling management layer based on the bidding results of the capacity decision results. It should be noted that the business execution plan may include but is not limited to the capacity decision results of the required capacity and the corresponding bidding results. In addition, the orchestration and scheduling management layer also sends the business execution plan to the operation management layer, and the user is required to review the business execution plan. If the user has no objection, he can operate in the plan confirmation interface provided by the operation management layer to confirm the business execution plan. When the orchestration and scheduling management layer receives the user's confirmation information on the business execution plan sent by the operation management layer, the target business plan is generated based on the business execution plan. It can be understood that since the user has not modified the business execution plan, the business execution plan has been confirmed, indicating that the user agrees to the business execution plan. At this time, the target business plan can be the business execution plan.
[0067] That is, in this embodiment, the business execution plan needs to be sent to the operation management level so that the user can review the business execution plan. If the user's review is correct, the business execution plan can be confirmed, and a target business plan can be generated based on the business execution plan to improve the target business plan's satisfaction with user needs.
[0068] In some embodiments, before sending the deployment request to the provider of the capability decision result, the method further includes:
[0069] When the orchestration and scheduling management layer receives the modification information of the user on the service execution plan sent by the operation management layer, the service execution plan is updated based on the modification information;
[0070] Generate a target business plan based on the updated business execution plan.
[0071] That is, it is used to modify the business execution plan during the process of reviewing the business execution plan. In this way, the business execution plan can be updated according to the user's modification information to make the updated business execution plan more adaptable to user needs.
[0072] In some embodiments, the operation management layer and the user application layer are connected via a pre-specified first interface, and the operation management layer receives the user service request via the first interface;
[0073] The operation management layer and the orchestration and scheduling management layer are connected through a pre-specified second interface, the orchestration and scheduling management layer and the capability aggregation layer are connected through a pre-specified third interface, the orchestration and scheduling management layer and the trading market management layer are connected through a pre-specified fourth interface, the trading market management layer and the capability aggregation layer are connected through a pre-specified fifth interface, and the orchestration and scheduling management layer also has a pre-specified sixth interface, which is used to connect with the provider and receive the provider's deployment results for the target business solution.
[0074] It should be understood that the operation management layer can receive user service requests through the first interface. In this implementation, the logical interfaces between different functional layers (functional modules) of HAIOS are standardized, and the required capability fusion service automation end-to-end closed-loop implementation can be completed, which can solve the problems of complex and diverse user service requirements, ubiquitous distribution of required capabilities, difficult selection, and high deployment complexity.
[0075] The process of the above scheme is described in detail below with some specific embodiments, taking the required capabilities including AI capabilities, computing power capabilities and network capabilities as an example.
[0076] Introduction of related technologies:
[0077] The functional architecture of the computing network brain in related technologies is as follows: Figure 2As shown in the figure, the computing network brain, as the "intelligent center" of the entire computing power network system, is a key system for the symbiotic development of computing networks. Through the unified orchestration, scheduling, management and operation of computing power and network resources, it integrates data and intelligence to achieve cross-layer and cross-regional integration of ubiquitous computing power and cross-domain and cross-professional integration of the network, and realizes the supply of multi-factor fusion capabilities and integrated computing network service support.
[0078] The computing network brain system connects to the computing network operation layer (i.e., computing network operation platform) in the north, and receives the business demand information of customers on the computing network operation side through the interface. The computing network brain system connects to various professional domain systems involved in the business scenario in the south, for example, including but not limited to mobile cloud management, IT cloud management, social computing workbench, transmission workbench, and IP workbench, etc., to complete the construction and deployment of terminal equipment and complete resource pool selection and network link creation for customers on demand. The core functions of the computing network brain include core functions such as design, orchestration and scheduling, perception access, capability access, and intelligence, and access to standardized computing network capabilities through capability gateways.
[0079] The business process of the computing network brain in the related technology is as follows:
[0080] Service subscription: Users submit subscription requirements for computing network integration services that include computing power, network, and AI capabilities to the computing network operation platform;
[0081] Demand analysis: The computing network operation platform issues computing network service orders, and the orchestration and scheduling module performs business demand analysis to decompose computing and network resources and capacity requirements;
[0082] Information acquisition: The orchestration and scheduling module obtains resource data and topology information related to computing network service requirements from the perception access module;
[0083] Intelligent analysis and decision-making: The scheduling and scheduling module generates a business plan by matching computing and network resources and capabilities based on the task scale, real-time requirements, detection location and other conditions through the intelligent analysis and decision-making algorithm of the intelligent module;
[0084] Resource capability scheduling: The orchestration and scheduling module calls the atomic capabilities opened by the capability gateway through the capability access module to implement cross-domain scheduling of the computing network and complete service delivery.
[0085] However, the business operation scenarios of computing network are complex and diverse, and the degree of customization of user business needs is large and varies greatly. In addition, the computing network brain manages many types of capability elements, which are ubiquitously distributed and connected to multiple external systems. There are many interfaces and they are difficult to unify, which involves high requirements for professional knowledge and skills in multiple fields. In addition, the level of intelligence of user service operation and management is relatively low, and it is still mainly based on the empowerment of single node and single task of "computing network + AI". The basic logic of the orchestration and combination of atomic capabilities such as AI, network and computing power still requires manual pre-set fixed processes, strategies and algorithms. Business operation guarantees still partially rely on manual analysis and decision-making and front-line operations. Each link is time-consuming, costly and inflexible.
[0086] Systematic artificial intelligence relies on ubiquitous networks and AI computing power to realize flexible and efficient configuration, scheduling, training and deployment of AI capabilities in an open environment to meet the increasingly rich digital business needs, while ensuring that AI business is trustworthy, controllable and secure. In order to support the overall management of systematic artificial intelligence and realize the integrated scheduling and trading of multi-factor capabilities of systematic artificial intelligence, this proposal proposes a systematic artificial intelligence operating system (HAIOS), an intelligent operation management system. HAIOS is positioned as the core system for intelligent scheduling and operation management of systematic artificial intelligence, and uniformly manages AI capabilities, computing power, network resources and application requirements. It needs to accurately understand the intelligent needs described by users in natural language, graphics and other forms, conduct intelligent planning of solutions, match AI capabilities and computing network resources corresponding to the solutions, and select the best capabilities through capability trading, and finally output the execution plan and complete the deployment and implementation of the solution. In this way, the purpose of efficiently scheduling and managing the connected AI capabilities, computing power resources and network resources in a dynamic environment and continuously and on-demand providing plug-and-play AI services can be achieved.
[0087] The overall functional architecture of HAIOS provided in this embodiment is as follows: Figure 3 As shown, based on the system positioning and referring to the ETOM business process framework, design Figure 3 In the layered architecture shown, HAIOS needs to directly face AI service demanders, which can be individual users or corporate users, to obtain intelligent demands from the demanders. Downward, the system / platform needs to be aggregated to obtain various types of capabilities or resources provided by multiple suppliers such as AI capabilities, computing power, and networks for HAIOS to dispatch. The capability aggregation layer needs to provide comprehensive capability aggregation management and bidding response functions. Through the standardized management of AI or computing network capabilities, it can realize the registration, accurate matching retrieval and reasonable bidding of various capabilities, ensuring that customer business needs and supplier profit needs are met.
[0088] HAIOS mainly includes four core functions: operation management layer (operation management module), orchestration and scheduling management layer (orchestration and scheduling management module, also known as orchestration and scheduling management center), transaction market management layer (transaction market management module) and capability aggregation layer (capability aggregation module):
[0089] Operation management layer: open to users, serving as an intelligent interaction portal based on natural language to achieve management of operation services, orders, and users;
[0090] Orchestration and scheduling management layer: As the core of task orchestration and capability scheduling, it realizes the integrated management and intelligent orchestration and scheduling of AI capabilities, computing power, and network resources;
[0091] Trading market management layer: implement AI-exchange bidding function, build a complete bidding process, start the bidding process according to user needs and control the whole process;
[0092] Capability aggregation layer: capability management such as capability listing and release, testing and verification, and capability bidding transaction processing.
[0093] The operational management structure is as follows: Figure 4 As shown, the operation management module provides a natural language interface for interacting with users. It serves as a unified entrance to present product information and understand customer ordering needs. It is responsible for real-time monitoring of business order creation and order flow progress, generates billing plans based on operation plans, and finally aggregates business plan information for multi-modal presentation.
[0094] The operational process domain is the core of eTOM, including daily operational support processes, such as the end-to-end process group of activation, guarantee and billing from the front desk to the back office, as well as the preparation process that provides conditions for these operational supports, as well as sales management and supplier and partner relationship management.
[0095] (1) Operation Portal:
[0096] Support customers to express and calibrate their ordering intentions in natural language;
[0097] Understand customer intentions and assist in creating business orders, analyze operation plans and supplement billing information;
[0098] Product and solution display and classification management also include more in-depth detailed information, such as user manuals, operation guides, FAQs, etc., to help users better understand and use the products.
[0099] As a channel for collecting user feedback, users can provide opinions and suggestions on products through the page to help the system continuously improve and optimize the product.
[0100] (2) Order management:
[0101] Comprehensively manage and monitor the entire process from order creation to final delivery and subsequent operations;
[0102] Complete order-related contract application and management;
[0103] Collect, analyze and utilize customer feedback on order processing and services to improve customer satisfaction, optimize customer experience, and enhance the company's service quality;
[0104] Realize the management of various operational information required for order establishment.
[0105] (3) Billing management:
[0106] Formulate and implement various billing strategies and rules, such as setting different pricing strategies, preferential policies, package services, etc., to help users solve billing-related problems, adapt to the needs of different users and optimize the revenue model;
[0107] Calculate the fees for users to use services or products. It determines the fees to be paid based on the user's actual usage, such as usage time, service type, data traffic, etc. In addition, it can track and record all billing-related data to ensure the accuracy and transparency of fees;
[0108] By analyzing the collected billing data, the billing management module can generate detailed reports;
[0109] Provide other additional billing management capabilities to support the improvement of order information.
[0110] (4) Customer management:
[0111] Ensure the safe and effective management of customer information data;
[0112] By building user portraits, we can achieve targeted product push and efficient understanding of business needs.
[0113] The functional architecture of the orchestration and scheduling management module is as follows: Figure 5 As shown in the figure, the orchestration and scheduling management module is the core of the HAIOS functional module, which realizes the optimal combination, scheduling and deployment of AI, computing power, network and other capabilities and resources required by the business, and ensures the smooth operation of business instances.
[0114] (1) Arrangement planning:
[0115] Solution planning: Complete the understanding of the user's fuzzy intention and analyze it into detailed customized business requirements, perform task decomposition and process design, intelligently generate test plans and disassemble bidding requirements, complete execution plan testing, comprehensively consider the resources and AI capabilities of various fields of the computing network, and decide on the operation plan;
[0116] Solution management: responsible for the addition and removal of solutions, and providing historical data support for subsequent solution generation.
[0117] (2) Scheduling and deployment:
[0118] Test management: Conduct orchestration solution testing and deployment debugging to verify the feasibility of the solution;
[0119] Deployment management: supports visualization of scheduling processes and results, facilitates process management, and improves user experience.
[0120] (3) Security optimization:
[0121] After the orchestration plan is deployed and run, data monitoring, risk prediction, fault warning and problem location are performed on the service instances to support dynamic and efficient optimization and adjustment of the instances.
[0122] (4) Instance management:
[0123] Supports visual management of service instances throughout their entire life cycle.
[0124] The functional architecture of the trading market management module is as follows: Figure 6 As shown in the figure, the trading market management module provides the hosting and decision-making functions of trading tasks. It realizes intelligent analysis of bidding tasks, customized design and generation of bidding plans, organization of the bidding process of capability sets, dynamic generation of bidding game information and decision-making of bidding winners.
[0125] (1) Auction Management:
[0126] Responsible for the overall management and control of the auction tasks;
[0127] Through multiple rounds of bidding interactions, the ordering cost is reduced based on the cost priority strategy while ensuring performance;
[0128] The bidding winner is determined through multi-dimensional analysis including performance, demand, and cost.
[0129] (2) Auction support:
[0130] Provide bidding process design / matching functions to support overall management and control and key node analysis and decision-making;
[0131] Provide information analysis and generation functions to ensure effective understanding and bidding promotion of each round of bidding information;
[0132] Provides a bidding winner evaluation function to ensure that candidate bidding capabilities can be evaluated from multiple dimensions.
[0133] For the capability aggregation layer in HAIOS: Provide full-link model development tools, aggregate data, models and applications, and form a model and application market. At the same time, support capability retrieval, packaging and transaction processing functions.
[0134] The logical interfaces in the HAIOS architecture are as follows: Figure 7 As shown, where:
[0135] Interface 1: The interface between the user and the operation management module, used to issue requirements and for HAIOS to feedback the results of the business plan to the user;
[0136] Interface 2: The interface between the operation management module and the orchestration and scheduling management module, used for issuing business order requirements and providing feedback on business solution results;
[0137] Interface 3: The interface between the orchestration scheduling management and capability aggregation layer, used to issue capability matching and retrieval tasks and results;
[0138] Interface 4: The interface between the orchestration and scheduling management module and the trading market management module, used to issue bidding tasks and feedback results;
[0139] Interface 5: The interface between the trading market management module and the capability aggregation layer, used for bidding invitation issuance and multi-round bidding interaction;
[0140] Interface 6: The interface between the orchestration and scheduling management module and the capability workshop (including multiple capability suppliers, such as AI capability suppliers, computing power suppliers, network providers, etc.), which is used for testing and deploying operation plans.
[0141] The business processing method provided by this application is as follows Figure 8 As shown, the specific process includes:
[0142] 1. The HAIOS operation management module receives the user's description of comprehensive business requirements covering AI, computing power and network in natural language, completes demand analysis and generates business orders, and sends them to the orchestration and scheduling management module;
[0143] 2. The orchestration and scheduling management module analyzes and classifies service requirements, generates test plans (business test plans), and determines the specification requirements of each element capability;
[0144] 3-4. The capability aggregation layer receives the test plan capability retrieval task and performs a demand-capability matching retrieval. If the retrieval fails, the existing atomic capabilities are assembled to form the required new capabilities; wherein capability acquisition corresponds to the above capability retrieval request, and capability matching corresponds to the above capability retrieval result;
[0145] 5. The orchestration and scheduling management module sends the AI capability bidding requirements (capability bidding requests) in the test plan to the trading market management module;
[0146] 6-7. The trading market management module sends a bidding invitation (bidding request) to the capability aggregation layer. After multiple rounds of interaction, the capability aggregation layer generates a bidding set of information and feeds it back to the trading market. After the trading market completes the capability decision, it notifies the capability provider of the bidding result and feeds back the bidding result to the orchestration and scheduling management module.
[0147] 8. The scheduling and dispatching management module receives the bidding results, generates an execution plan (business execution plan), and performs execution plan testing;
[0148] 9-10. The scheduling and dispatching management module feeds back the execution plan to the operation management module, and the user confirms and modifies the execution plan;
[0149] 11. After receiving the user's confirmation, the scheduling management module completes the generation and testing of the operation plan (target business plan);
[0150] 12. The orchestration and scheduling management module issues an operation plan deployment task, and the capability provider completes the operation plan deployment; wherein the operation plan deployment corresponds to the above deployment request, and the above operation plan deployment result feedback corresponds to the deployment result of the above target business plan;
[0151] 13-14. The capability workshop feeds back the operation plan deployment results to the orchestration and scheduling management module, and the orchestration and scheduling management module synchronizes the results to the user.
[0152] The overall architecture of the HAIOS system provided in this embodiment is as follows Fig. 9 As shown in the figure, the overall framework of the HAIOS system is a multi-agent (Agent) architecture defined by roles based on the HAIOS large model. Multi-agent systems have received attention from all sides due to their advantages in complex distributed environments. In multi-agent systems, each agent has independence and autonomy and can solve given subtasks. There are distributed decision-making, collaborative operations, autonomous interactions and complex task management processes in the orchestration and scheduling management module and the trading market management module, which require planning and reasoning capabilities based on large models, and tool-assisted task execution. Therefore, the Agent is defined and divided according to the task role, and the orchestration management agent, scheduling deployment agent, task management agent, auction host agent and auction planning decision agent are constructed respectively. The agents interact with each other and work together to adapt to the dynamic environment to complete complex tasks such as task planning, execution and evaluation.
[0153] Among them, the structure of the orchestration management agent is as follows Fig.10As shown in the figure, the orchestration plan planning and execution modules cooperate with each other, combine user intentions and real-time resource status, combine various products and capabilities, generate test, execution, and operation plans, and achieve global optimization; the experience and knowledge module stores historical data and updates relevant knowledge in real time to provide strong support for decision-making.
[0154] The structure of the scheduling and deployment Agent is as follows Fig.11 As shown in the figure, the deployment plan planning and execution modules complement each other to realize environment deployment and capability call, and integrate and analyze the execution results of the docking system, optimize the plan decision, and improve resource utilization. The memory module stores and manages the relevant information of the scheduling deployment to improve efficiency.
[0155] The structure of the task management agent is as follows Fig.12 As shown in the figure, the task planning and execution modules work together to manage the orchestration tasks, schedule the tasks, and monitor the progress of the auction tasks to ensure the smooth delivery of the tasks. The Agents function definition module defines the functions of each Agent in the orchestration management to ensure the fine-grained splitting of tasks. The interactive information history database provides background information and technical support for the splitting of tasks.
[0156] The structure of the auction host Agent is as follows Fig.13 As shown in the figure, the auction task module realizes the reception and preliminary analysis of the auction tasks, and interacts with the auction task planning decision agent to realize the construction and management of the complete auction task; the auction task scheduling module is responsible for the deployment and scheduling of one or more complete auction tasks, and realizes the dynamic intelligent scheduling of task instructions through task priority and resource availability analysis; the strategy and resource information library provides various task priority information and resource availability information, providing data support for auction task scheduling.
[0157] The structure of the auction planning decision agent is as follows: Fig.14 As shown in the figure, the auction plan planning module combines auction strategies and rules to generate an auction plan that meets business needs, and feeds back to the auction task management to form a complete auction task; based on various types of information, it continuously adjusts and optimizes existing strategies and rules; the auction decision module analyzes the task auction process information, generates the host information between rounds, and makes the final winner decision based on various analysis capabilities.
[0158] The HAIOS system functional architecture provided in this embodiment includes four core functional modules: operation management layer, orchestration and scheduling management layer, transaction market management layer, and capability aggregation layer, and provides the definition of sub-functional modules in the four core functional modules. The interaction process of the four core functional modules of HAIOS is clarified, and the logical interface definition of the interaction between the tasks handled by each functional module within HAIOS and the modules is standardized. In the technical architecture of HAIOS, the orchestration management agent, scheduling deployment agent, task management agent, auction host agent and auction planning decision agent built on the HAIOS big model interact with each other, work together to adapt to the dynamic environment, and complete complex tasks such as task planning, execution and evaluation.
[0159] The solution provided by this embodiment can break the current operating mode of the existing computing network brain, which is "computing network + AI" single-point empowerment of the industry, propose the HAIOS functional architecture, complete the system reconstruction, and realize the new business operation mode of "AI + computing network", effectively improving the user experience. The logical interface and task execution process between the HAIOS functional modules are standardized, and the end-to-end closed-loop realization of AI + computing power + network integrated business automation is completed, which solves the problems of complex and diverse user business needs, ubiquitous distribution of AI, computing power, and network, difficult selection, and high deployment complexity. It also creates a technical architecture for multi-agent interactive learning and synergy, and based on the "ABCDNETS" multi-factor fusion orchestration, optimized scheduling and AI Exchange technology, it realizes intelligent operation services from demand analysis to solution recommendation, from implementation and deployment to automatic optimization and guarantee in a natural language interactive way, realizing high-level intelligence of computing network business operation and operation and maintenance services.
[0160] like Fig.15 As shown, Fig.15 is a structural diagram of a service processing device provided in an embodiment of the present application, such as Fig.15 As shown, the service processing device 1500 includes:
[0161] The first receiving module 1501 is used to receive a user service request, where the user service request carries a service requirement of a required capability;
[0162] The business processing module 1502 is used to generate a target business solution based on the user's business request through the systematic artificial intelligence operating system HAIOS, and deploy the target business solution;
[0163] Among them, HAIOS includes the operation management layer, the orchestration and scheduling management layer, the transaction market management layer and the capability aggregation layer; the operation management layer is used to generate business orders based on user business requests, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to retrieve the required capabilities, the orchestration and scheduling management layer is used to generate the target business plan based on the capability decision results of the required capabilities and send a deployment request to the provider of the capability decision results. The deployment request is used to request the provider to deploy the target business plan. The capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
[0164] In some embodiments, the business processing module 1502 includes:
[0165] A first generating unit, configured to generate a service order based on a user service request through an operation management layer;
[0166] The second generating unit is used to perform demand analysis on the service order through the orchestration and scheduling management layer, and generate a service test plan, wherein the service test plan includes the required capability requirement information;
[0167] A first sending unit is used to send a capability retrieval request to the capability convergence layer through the orchestration and scheduling management layer;
[0168] A retrieval unit, configured to retrieve the required capability based on the capability retrieval request through the capability aggregation layer, and obtain a capability retrieval result matching the required capability;
[0169] A first determination unit is used to determine a capability decision result of a required capability in the capability search result through an orchestration and scheduling management layer, a transaction market management layer, and a capability aggregation layer;
[0170] The first processing unit is used to generate a target business solution based on the capability decision result of the required capability by the orchestration scheduling management layer, and send a deployment request to a provider of the capability decision result of the required capability.
[0171] In some embodiments, the first determining unit includes:
[0172] The second sending unit is used to send a capacity bidding request to the trading market management layer through the orchestration and scheduling management layer;
[0173] The third sending unit is used to send a bidding request to the capability convergence layer based on the bidding request through the trading market management layer, where the bidding request is used to request the capability convergence layer to notify the provider of each capability in the capability search result to bid;
[0174] A fourth sending unit, configured to send the bidding result of each capability in the capability retrieval result to the trading market management layer based on the bidding request through the capability convergence layer;
[0175] The decision result determination unit is used to make a capability decision based on the bidding result of each capability in the capability retrieval result through the transaction market management layer, determine the capability decision result, and send the bidding result of the capability decision result to the orchestration and scheduling management layer.
[0176] In some embodiments, the first processing unit includes:
[0177] A business execution plan generating unit, used to generate a business execution plan by arranging the bidding results of the scheduling management layer based on the capability decision results, and send the business execution plan to the operation management layer;
[0178] The third generating unit is configured to generate a target business plan based on the business execution plan when the orchestration scheduling management layer receives the confirmation information of the user for the business execution plan sent by the operation management layer;
[0179] The request sending unit is used to send a deployment request to the provider of the capability decision result.
[0180] In some embodiments, the apparatus further comprises:
[0181] An updating module, configured to update the business execution plan based on the modification information of the business execution plan sent by the user from the operation management layer through the orchestration and scheduling management layer before the request sending unit executes the sending of the deployment request to the provider of the capability decision result;
[0182] The fourth generating unit is used to generate a target business plan based on the updated business execution plan.
[0183] In some embodiments, the operation management layer and the user application layer are connected via a pre-specified first interface, and the operation management layer receives the user service request via the first interface;
[0184] The operation management layer and the orchestration and scheduling management layer are connected through a pre-specified second interface, the orchestration and scheduling management layer and the capability aggregation layer are connected through a pre-specified third interface, the orchestration and scheduling management layer and the trading market management layer are connected through a pre-specified fourth interface, the trading market management layer and the capability aggregation layer are connected through a pre-specified fifth interface, and the orchestration and scheduling management layer also has a pre-specified sixth interface, which is used to connect with the provider and receive the provider's deployment results for the target business solution.
[0185] In some embodiments, the required capabilities include at least one of the following:
[0186] Artificial intelligence (AI) capabilities;
[0187] Computing resource capabilities;
[0188] Network resource capabilities.
[0189] The business processing device 1500 provided in this embodiment can implement each process of each embodiment of the above-mentioned business processing method, the technical features correspond one to one, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
[0190] An embodiment of the present application also provides an electronic device, including: a processor, a memory, and a program stored in the memory and executable on the processor. When the program is executed by the processor, each process of the above-mentioned business processing method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.
[0191] For details, see Fig.16 An embodiment of the present application further provides an electronic device, including a bus 1601, a transceiver 1602, an antenna 1603, a bus interface 1604, a processor 1605 and a memory 1606.
[0192] The processor 1605 is used for:
[0193] Receive user service requests, which carry the service requirements of required capabilities;
[0194] Based on user business requests, the systemized artificial intelligence operating system HAIOS generates target business solutions and deploys them;
[0195] Among them, HAIOS includes the operation management layer, the orchestration and scheduling management layer, the transaction market management layer and the capability aggregation layer; the operation management layer is used to generate business orders based on user business requests, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to retrieve the required capabilities, the orchestration and scheduling management layer is used to generate the target business plan based on the capability decision results of the required capabilities and send a deployment request to the provider of the capability decision results. The deployment request is used to request the provider to deploy the target business plan. The capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
[0196] exist Fig.16In the embodiment, the bus architecture (represented by bus 1601) may include any number of interconnected buses and bridges, and bus 1601 links various circuits including one or more processors represented by processor 1605 and memory represented by memory 1606. Bus 1601 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 1604 provides an interface between bus 1601 and transceiver 1602. Transceiver 1602 may be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. Data processed by processor 1605 is transmitted on a wireless medium via antenna 1603, and further, antenna 1603 also receives data and transmits the data to processor 1605.
[0197] The processor 1605 is responsible for managing the bus 1601 and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 1606 can be used to store data used by the processor 1605 when performing operations.
[0198] Optionally, the processor 1605 may be a CPU, an ASIC, an FPGA or a CPLD.
[0199] The processor of the electronic device 1600 provided in this embodiment can implement each process of each embodiment of the above-mentioned business processing method, the technical features correspond one to one, and can achieve the same technical effect. To avoid repetition, they will not be described here.
[0200] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, each process of the above-mentioned business processing method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. Among them, the computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.
[0201] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.
[0202] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods of each embodiment of the present application.
[0203] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.
Claims
1. A business processing method, It is characterized in that The method comprises: Receiving a user service request, wherein the user service request carries a service requirement of a required capability; Based on the user's business request, a target business solution is generated through the systematic artificial intelligence operating system HAIOS, and the target business solution is deployed; Among them, the HAIOS includes an operation management layer, an orchestration and scheduling management layer, a transaction market management layer and a capability aggregation layer; the operation management layer is used to generate a business order based on the user business request, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to perform capability retrieval on the required capability, the orchestration and scheduling management layer is used to generate the target business plan based on the capability decision result of the required capability and send a deployment request to the provider of the capability decision result, the deployment request is used to request the provider to deploy the target business plan, and the capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
2. The method according to claim 1, It is characterized in that Based on the user service request, generating the target service solution through the systematic artificial intelligence operating system HAIOS, and deploying the target service solution, including: Generate the service order based on the user service request through the operation management layer; Performing demand analysis on the service order through the orchestration and scheduling management layer to generate a service test plan, wherein the service test plan includes requirement information of the required capability; Sending a capability retrieval request to the capability convergence layer through the orchestration and scheduling management layer; Retrieving the required capability based on the capability retrieval request through the capability convergence layer to obtain a capability retrieval result matching the required capability; Determining the capability decision result of the required capability in the capability search result through the orchestration and scheduling management layer, the transaction market management layer and the capability aggregation layer; The target business solution is generated by the orchestration and scheduling management layer based on the capability decision result of the required capability, and the deployment request is sent to the provider of the capability decision result of the required capability.
3. The method according to claim 2, It is characterized in that The determining the capability decision result of the required capability in the capability search result through the orchestration and scheduling management layer, the transaction market management layer, and the capability aggregation layer includes: Sending a capacity bidding request to the transaction market management layer through the orchestration and scheduling management layer; Sending a bidding request to the capability convergence layer based on the bidding request through the transaction market management layer, wherein the bidding request is used to request the capability convergence layer to notify the provider of each capability in the capability search result to bid; Sending the bidding result of each capability in the capability retrieval result to the transaction market management layer based on the bidding request through the capability aggregation layer; The transaction market management layer performs capability decision based on the bidding result of each capability in the capability search result, determines the capability decision result, and sends the bidding result of the capability decision result to the orchestration and scheduling management layer.
4. The method according to claim 3, It is characterized in that The generating the target service solution based on the capability decision result of the required capability by the orchestration and scheduling management layer, and sending the deployment request to the provider of the capability decision result of the required capability, includes: Generate a service execution plan based on the bidding result of the capability decision result by the orchestration and scheduling management layer, and send the service execution plan to the operation management layer; When the orchestration and scheduling management layer receives the user's confirmation information regarding the service execution plan sent by the operation management layer, generating the target service plan based on the service execution plan; The deployment request is sent to a provider of the capability decision result.
5. The method according to claim 4, It is characterized in that Before sending the deployment request to the provider of the capability decision result, the method further includes: When the orchestration and scheduling management layer receives the modification information of the user for the service execution plan sent by the operation management layer, updating the service execution plan based on the modification information; Based on the updated business execution plan, the target business plan is generated.
6. The method according to any one of claims 1 to 5, It is characterized in that The operation management layer and the user application layer are connected via a pre-specified first interface, and the operation management layer receives the user service request via the first interface; The operation management layer is connected to the orchestration and scheduling management layer via a pre-specified second interface, the orchestration and scheduling management layer is connected to the capability aggregation layer via a pre-specified third interface, the orchestration and scheduling management layer is connected to the transaction market management layer via a pre-specified fourth interface, the transaction market management layer is connected to the capability aggregation layer via a pre-specified fifth interface, and the orchestration and scheduling management layer also has a pre-specified sixth interface, which is used to connect to the provider and receive the provider's deployment result for the target business plan.
7. The method according to claim 1, It is characterized in that The required capabilities include at least one of the following: Artificial intelligence (AI) capabilities; Computing resource capabilities; Network resource capabilities.
8. A business processing device, It is characterized in that include: A first receiving module is used to receive a user service request, wherein the user service request carries a service requirement of a required capability; A business processing module, used to generate a target business solution through the systematic artificial intelligence operating system HAIOS based on the user business request, and deploy the target business solution; Among them, the HAIOS includes an operation management layer, an orchestration and scheduling management layer, a transaction market management layer and a capability aggregation layer; the operation management layer is used to generate a business order based on the user business request, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to perform capability retrieval on the required capability, the orchestration and scheduling management layer is used to generate the target business plan based on the capability decision result of the required capability and send a deployment request to the provider of the capability decision result, the deployment request is used to request the provider to deploy the target business plan, and the capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
9. An electronic device, It is characterized in that Including transceiver and processor, The processor is configured to: Receiving a user service request, wherein the user service request carries a service requirement of a required capability; Based on the user's business request, a target business solution is generated through the systematic artificial intelligence operating system HAIOS, and the target business solution is deployed; Among them, the HAIOS includes an operation management layer, an orchestration and scheduling management layer, a transaction market management layer and a capability aggregation layer; the operation management layer is used to generate a business order based on the user business request, the transaction market management layer is used for capability decision-making, the capability aggregation layer is used to perform capability retrieval on the required capability, the orchestration and scheduling management layer is used to generate the target business plan and send a deployment request to the provider of the capability decision result of the required capability, the deployment request is used to request the provider to deploy the target business plan, and the capability decision result is: the capability determined in the capability retrieval result of the required capability through the capability decision.
10. An electronic device, It is characterized in that include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program implements the steps of the method according to any one of claims 1 to 7 when executed by the processor.
11. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the methods of claims 1 to 7.
12. A computer program product, It is characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps of the method according to any one of claims 1 to 7.
