A task-oriented end-to-end network resource intelligent arrangement method, a storage medium and an electronic device

Abstract

The application discloses a kind of task-oriented end-to-end network resource intelligent arrangement method, comprising: extracting task-related key data, analyzing task member and member relationship information, analyzing the specific needs of end-to-end member including video, voice and data service to information link protection, task demand decomposition is carried out, and service protection demand list is formed;Input service protection demand list for resource intelligent arrangement, use service means correlation analysis, network state analysis and resource protection capability analysis, service connection means automatic solution is carried out, and service connection protection list is formed;Based on service connection protection list, command and dispatch of multiple network means are carried out in stages.This application supports network resource scheduling work under the scene of task activity, can understand task protection requirements, generate scheduling strategy, issue execution to network management service, complete task network communication link arrangement and construction, realize the rapid matching, dynamic adjustment of task network and physical network resources.

Description

Technical Field

[0001] This invention relates to the field of network resource management technology, specifically to a task-oriented end-to-end intelligent orchestration method for network resources, a storage medium, and an electronic device. Background Technology

[0002] With the rapid development of information technology, the requirements for network services are increasing as various tasks require support. Traditional network resource allocation methods are often based on a single, fixed technical system and business model. They employ pre-arranged static physical network resource configuration, resource allocation based on strategies such as time, user, and service type, setting resource configuration templates that meet the requirements of various application services for rapid configuration, and supporting administrators to monitor and manage network devices based on network management protocols.

[0003] Currently, although some technical solutions improve network resource allocation by introducing automation and intelligence, they still have certain problems. For example, the lack of comprehensive task requirement analysis and the failure to conduct a thorough analysis of the business requirements of tasks lead to a mismatch between resource allocation and actual business needs, affecting task execution efficiency and network resource utilization. Predictive models are not very accurate; some solutions use predictive models to predict future resource needs and availability, but due to issues such as data quality and model complexity, the prediction accuracy is often low, limiting the effectiveness of resource orchestration strategies—that is, the effectiveness of strategies for unified management and configuration of multiple types of network resources is limited. The heterogeneous network integration capability is insufficient; to ensure user service connectivity, it is necessary to comprehensively utilize multiple communication methods such as computer networks, satellite networks, and 5G private networks, and to have the ability to achieve unified allocation of network resources in heterogeneous networks. Dynamic adjustment capability is insufficient; when faced with rapid changes in task requirements or network status, existing solutions have limited dynamic adjustment capabilities, making it difficult to adjust resource allocation strategies in a timely manner, leading to task execution delays or resource waste.

[0004] Therefore, network resource management technology still has significant shortcomings in terms of flexibility, intelligence, and response speed, making it difficult to dynamically adjust and optimize the deployment of network resources and meet the increasingly complex and ever-changing network service demands. With the development of technologies such as cloud computing and big data, business needs are becoming more flexible and diverse, placing higher demands on network resource orchestration.

[0005] In particular, the ability to schedule network resources according to mission intent is insufficient. When user units make network adjustments, they lack the means to connect the needs of mission activities to the needs of network support measures and resource adjustment strategies. As an infrastructure, the daily operation and maintenance of communication networks is quite heavy. Through intelligent means, support capability analysis and intelligent network resource orchestration can be carried out to build end-to-end communication links, that is, to establish communication links between source and destination members to meet business communication needs. This is an urgent need for functional units.

[0006] Therefore, in response to the end-to-end business communication requirements of each task member node, there is an urgent need for a task-oriented end-to-end intelligent network resource orchestration method, storage medium, and electronic equipment to solve the problem of low efficiency in traditional network resource management methods. Summary of the Invention

[0007] This invention addresses the shortcomings of existing technologies by providing a task-oriented end-to-end intelligent orchestration method for network resources, a storage medium, and an electronic device to solve the problem of low efficiency in traditional network resource management methods.

[0008] To achieve the above objectives, the present invention adopts the following technical solution:

[0009] A task-oriented end-to-end intelligent orchestration method for network resources, characterized by the following steps:

[0010] Extract key data related to the task, automatically analyze task members and their relationships, analyze the specific needs of end-to-end members, including video, voice, and data services, for information link assurance, and decompose task requirements to form a service assurance requirement list; input the service assurance requirement list for intelligent resource orchestration, and use business means correlation analysis, network status analysis, and resource assurance capability analysis to automatically calculate service communication means and form a service communication assurance list; based on the service communication assurance list generated by intelligent resource orchestration, command and dispatch of various network means are carried out in stages.

[0011] To optimize the above technical solution, the specific measures also include:

[0012] Furthermore, the extraction of key data related to the task, automatic analysis of task members and their relationships, analysis of the specific needs of end-to-end members, including video, voice, and data services, for information link assurance, and decomposition of task requirements to form a business assurance requirement list, includes the following steps:

[0013] Based on the information of task members, link type, protection level requirements, member size, member deployment location and member equipment, a structured analysis model of business requirements is constructed. According to the protection rules, the requirements of video, voice and data services, as well as the service protection bandwidth, latency and network quality requirements, are analyzed. Combined with the interaction status of normalized protection and on-demand protection, and the interaction time plan, a comprehensive list of business protection requirements is generated.

[0014] Furthermore, the input service assurance requirement list undergoes intelligent resource orchestration. Utilizing service means correlation analysis, network status analysis, and resource assurance capability analysis, it automatically calculates service connectivity methods to form a service connectivity assurance list, including the following steps:

[0015] In the intelligent orchestration of network resources business process, based on business interaction relationships, the business means correlation analysis function is used to select allocable communication links. In the process of selecting communication link node resources, the network status analysis function is used to exclude nodes with abnormal conditions. The resource guarantee capability analysis function is used to select network nodes, satellite networks and communication equipment that can be accessed, thus completing the intelligent orchestration of communication network resources and generating a business communication guarantee list.

[0016] Furthermore, the step of selecting allocatable communication links based on business interaction relationships and using business-related correlation analysis functions includes the following steps:

[0017] Based on the relationship of "business requirements -> communication methods -> network resources", a structured analysis model for business methods is constructed. According to the business requirements in the business assurance requirement list, communication methods analysis, network resource analysis, and communication equipment analysis are performed in sequence, and resource orchestration results are generated. Among them, "business requirements" are divided into fine-grained categories, namely, video includes image network video, satellite video, and 5G private network video types; voice includes human telephone and automated telephone types; and data includes message, image, and text types. "Communication methods" include single-type assurance of computer network, satellite network, and 5G private network, or cross-means assurance in combination. "Network resources" supports the analysis and management of network node or communication equipment resources that match the assurance methods, as well as information on allocable bandwidth and latency resource usage.

[0018] Furthermore, in the process of selecting communication link node resources, the network status analysis function is used to exclude nodes with abnormal conditions, which includes the following steps:

[0019] Data is collected from computer networks, satellite networks, 5G private networks, and communication equipment networks. Raw data on network performance and fault alarms are also collected. Data governance technology is used to process the alarm data into a consistent data format. Big data processing technology is used to perform in-depth analysis and mining of the data, eliminating duplicate alarm information, supplementing missing data in alarm information, and eliminating alarm noise data. The alarm data is also classified and labeled according to the rules of fault source, location, resource affiliation, and service dependency to support the analysis of effective communication links.

[0020] Furthermore, the step of utilizing resource security capability analysis to select accessible network nodes, satellite networks, and communication equipment includes the following steps:

[0021] Based on business needs, a comprehensive analysis is conducted on the quantity, quality, distribution, and status of network resources and communication equipment. This analysis covers resources that can meet end-to-end communication link requirements, including wired network access analysis, satellite network access analysis, and 5G private network access analysis. This collectively provides resource assurance analysis capabilities, optimizes resource allocation, and selects accessible network nodes, satellite networks, and communication equipment.

[0022] Furthermore, the service connectivity assurance list generated based on resource intelligent orchestration is used to command and schedule various network methods in stages, including the following steps: issuing network orchestration strategies and monitoring their execution; during the operation of the task network, issuing link adjustment strategies to the network management service based on the network service traffic transmission situation, and performing online intervention.

[0023] Furthermore, the service connectivity assurance list generated based on intelligent resource orchestration is used for command and dispatch of various network methods in a step-by-step manner, including the following steps:

[0024] Based on the service connectivity assurance list generated by intelligent resource orchestration, network orchestration policies are issued to the computer network management service to create task network virtual links, including network members, access nodes, network devices and network resource requirements;

[0025] The execution target of network command and dispatch is the network management service. The connection with the network management service is carried out in either of the following forms: one is the real-time message interface form, which issues network orchestration strategies according to the agreed standard interface, receives link construction feedback results, and grasps the link operation status; the other is the file interface form, which generates network orchestration strategy files and then manually transmits them to the network management service. After the link is opened, the link construction results are reported.

[0026] Set service traffic thresholds and routing strategies. When the service traffic / orchestration bandwidth is greater than or equal to the threshold, calculate backup network links, issue link switching requirements, and adjust links according to link switching or service-based load balancing to ensure normal service operation.

[0027] Furthermore, a computer-readable storage medium storing a computer program is characterized in that: the computer program causes a computer to execute a task-oriented end-to-end network resource intelligent orchestration method as described above.

[0028] Furthermore, an electronic device is characterized by comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements the task-oriented end-to-end network resource intelligent orchestration method described above.

[0029] The beneficial effects of this invention are:

[0030] The intelligent network resource orchestration method of this invention supports network resource scheduling in task activity scenarios. It can understand task assurance requirements, generate service communication needs and network resource scheduling strategies and plans, and distribute and implement these plans to various network management services such as computer networks, satellite networks, and 5G private networks, completing the orchestration and construction of task network communication links. Intelligent network resource orchestration primarily utilizes the analysis results of perceived network operation status data, combined with computational models such as service means correlation analysis and resource assurance capability analysis, to analyze and optimize relevant communication nodes and links, achieving rapid matching between task network and physical network resources and supporting flexible and dynamic adjustments to the task network.

[0031] The method of this invention is a task-oriented intelligent resource orchestration. It adopts task requirement decomposition technology, optimizes resources around task objectives, analyzes the characteristics and business requirements of tasks, and orchestrates resources based on business requirements to ensure that tasks receive the most suitable resource allocation and improve task execution efficiency.

[0032] The method of this invention has a high resource utilization rate, supports the automated allocation of network resources according to task needs using analysis models, reduces the degree of human intervention, quickly responds to task needs, and improves work efficiency; it supports shielding the technical differences of various network types, comprehensively utilizing resources of various types, and performing resource orchestration across network systems; and it dynamically adjusts the communication link resources and configuration strategies required for tasks by real-time monitoring and analysis of network system resource changes.

[0033] The method of this invention has high flexibility and scalability, and can cope with tasks of different scales and complexities. It can be elastically expanded according to actual needs to ensure sufficient and reasonable use of resources. It can dynamically adjust network resources according to business needs to meet complex and ever-changing business requirements. It is applicable to a variety of network environments and business needs. It can expand the types of network resources and communication equipment, and can expand the resource orchestration analysis model to further improve the accuracy of resource orchestration.

[0034] The method of this invention improves the utilization rate of network resources. By dynamically organizing and arranging various network resources, resources can be rationally allocated according to task requirements, avoiding waste and shortage of resources and improving the overall utilization rate of network resources. It also improves task execution efficiency. By intelligently analyzing task requirements and dynamically adjusting network resources, it can ensure that tasks receive sufficient resource support during execution, thereby improving task execution efficiency. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the functional modules of a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention.

[0036] Figure 2 This is a flowchart illustrating the task requirement decomposition of a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention.

[0037] Figure 3 This is a schematic diagram of the task assurance requirements list for a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention.

[0038] Figure 4 This is a flowchart illustrating the intelligent resource orchestration process of a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention.

[0039] Figure 5 This is a flowchart illustrating the business means correlation analysis of a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention.

[0040] Figure 6 This is a schematic diagram of the service means correlation analysis model of a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention;

[0041] Figure 7 This is a flowchart of network state analysis for a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention.

[0042] Figure 8 This is a flowchart illustrating the resource assurance capability analysis of a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention.

[0043] Figure 9This is a schematic diagram illustrating the monitoring and execution of a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention.

[0044] Figure 10 This is a schematic diagram of computer network command and dispatch for a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention.

[0045] Figure 11 This is a flowchart of a computer network command and scheduling process for a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention.

[0046] Figure 12 This is a flowchart of a computer network link adjustment intervention method for a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention.

[0047] Figure 13 This is a schematic diagram of satellite network command and dispatch for a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention.

[0048] Figure 14 This is a flowchart of a satellite network command and scheduling process for a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention.

[0049] Figure 15 This is a schematic diagram of 5G private network command and dispatch for a task-oriented end-to-end network resource intelligent orchestration method proposed in this invention.

[0050] Figure 16 This is a flowchart of the 5G private network command and dispatch process for a task-oriented end-to-end intelligent network resource orchestration method proposed in this invention. Detailed Implementation

[0051] 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 of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0052] An embodiment of the present invention provides a task-oriented end-to-end network resource intelligent orchestration method, comprising the following steps: extracting key data related to the task, automatically analyzing task members and member relationship information, analyzing the specific requirements of end-to-end members, including video, voice, data and other services, for information link assurance, and decomposing task requirements to form a service assurance requirement list; inputting the service assurance requirement list for intelligent resource orchestration, using service means correlation analysis, network status analysis and resource assurance capability analysis to automatically calculate service communication means and form a service communication assurance list; and based on the service communication assurance list generated by intelligent resource orchestration, performing command and dispatch of various network means such as computer networks, satellite networks, and 5G private networks in stages.

[0053] The process involves extracting key data related to the task, automatically analyzing task members and their relationships, and analyzing the specific needs of end-to-end members, including video, voice, and data services, for information link assurance. Task requirements are then decomposed to form a service assurance requirement list. This includes the following steps: Based on task member relationship information, link type, assurance level requirements, member size, member deployment location, and member equipment status, a structured analysis model for service requirements is constructed. This model analyzes the service requirements for video, voice, and data services according to assurance rules, as well as network quality requirements such as bandwidth and latency. It also incorporates interaction states such as routine assurance and on-demand assurance, and interaction time plans to comprehensively generate a service assurance requirement list. Manual adjustments to the service types and network quality requirements in the requirement list are supported. In this way, the structured analysis model for service requirements is used for automatic analysis, resulting in a service assurance requirement list.

[0054] The aforementioned input service assurance requirement list undergoes intelligent resource orchestration. Utilizing service means correlation analysis, network status analysis, and resource assurance capability analysis, it automatically calculates service communication means to form a service communication assurance list. This process includes the following steps: In the intelligent network resource orchestration workflow, based on service interaction relationships, the service means correlation analysis function selects allocable communication links. During the selection of communication link node resources, the network status analysis function eliminates nodes with abnormal conditions. The resource assurance capability analysis function selects accessible network nodes, satellite networks, and communication equipment, completing the intelligent orchestration of communication network resources and generating the service communication assurance list.

[0055] The aforementioned selection of allocable communication links based on business interaction relationships and utilizing business means correlation analysis functions includes the following steps: Constructing a structured analysis model of business means correlation according to the "business requirements -> communication means -> network resources" relationship. This model allows for fine-grained segmentation of "business requirements," such as video including image network video, satellite video, and 5G private network video; voice including human telephone and automated telephone; and data including messages, images, and documents. "Communication means" includes single-type guarantees from computer networks, satellite networks, and 5G private networks, or cross-means guarantees through combinations. "Network resources" supports analysis and management of network nodes or communication equipment matching the guarantee means, as well as allocable bandwidth, latency, and other resource usage information. Based on the differences in "communication means" types supported by different services, available communication resources are analyzed according to conditions such as access distance, equipment allocation, communication coverage, and resource status, and communication links are then arranged and constructed.

[0056] The aforementioned process of selecting communication link node resources, utilizing network status analysis to exclude nodes with abnormal conditions, includes the following steps: collecting resource data from the network management system, such as computer networks, satellite networks, 5G private networks, and communication equipment; collecting information on network performance and fault alarms; using data governance technology to process the alarm data into a consistent data format; using big data processing technology to perform in-depth analysis and mining of the data, eliminating duplicate alarm information, supplementing missing data in alarm information, eliminating alarm noise data, and classifying and labeling the alarm data according to association rules such as fault source, location, resource affiliation, and service dependence to support the analysis of effective communication links.

[0057] The aforementioned resource guarantee capability analysis function, which selects accessible network nodes, satellite networks, and communication equipment, includes the following steps: Based on business needs, a comprehensive analysis is conducted on the quantity, quality, distribution, and status of network resources and communication equipment to analyze the resources that can meet the end-to-end communication link requirements. This analysis mainly includes wired network access analysis, satellite network analysis, and 5G private network analysis to jointly provide resource guarantee analysis capabilities and select accessible network nodes, satellite networks, and communication equipment.

[0058] Specifically, wired network access analysis refers to selecting accessible computer network nodes and allocable bandwidth resources within the mission activity area based on member deployment locations and network node distribution, using distance analysis. Satellite network analysis requires obtaining information on accessible satellite networks and stations. Satellite network access is selected based on the area covered by satellite beams, while station access is selected based on member deployment locations, station distribution, and communication equipment configuration. In 5G private network access analysis, 5G private network access is mainly selected based on the communication equipment configuration of the support members, using available vehicle-mounted, airborne, or shipborne base stations.

[0059] The analysis results of the aforementioned business connectivity guarantee list include information such as member relationships, information and communication service requirements, communication link guarantee measures, resource requirements, priorities, and effective periods, which can be manually intervened for optimization and adjustment.

[0060] The aforementioned service connectivity assurance list, generated based on intelligent resource orchestration, is used for command and dispatch of various network methods, including computer networks, satellite networks, and 5G private networks, in a step-by-step, segmented manner. This includes the following steps: issuing network orchestration strategies and monitoring their execution; and, during the operation of the task network, issuing link adjustment strategies to the network management service based on network service traffic transmission conditions for online intervention. Here, the task network refers to the service information interaction relationships between members within a task.

[0061] Specifically, the command and dispatch of the computer network includes the following steps: Based on the service connectivity guarantee list generated by intelligent resource orchestration, a network orchestration policy is issued to the computer network management service, and a task network virtual link is created, including network members, access nodes, network devices, and network resource requirements; the execution object of network command and dispatch is the network management service, and the connection with the network management service is carried out in either of the following forms: one is a real-time message interface, in which the network orchestration policy is issued according to the agreed standard interface, the link construction feedback results are received, and the link operation status is monitored; the other is a file interface, in which the network orchestration policy file is generated and then manually transmitted to the network management service, and the link construction results are reported after the link is opened; service traffic thresholds and routing policies are set, and when the service traffic / orchestration bandwidth >= the threshold, backup network links are calculated, link switching requirements are issued, and link adjustments are made according to link switching or service load balancing to ensure normal service operation.

[0062] Specifically, the command and dispatch of the satellite network includes the following steps: Based on the service communication guarantee list generated by intelligent resource orchestration, a network orchestration strategy is issued to the satellite network management service to activate the satellite network, mainly including information such as the satellite network and the satellite stations connected to the network; the command and dispatch business process is the same as that of the computer network, and the connection with the network management service is carried out through real-time message interface or file interface to monitor the execution status.

[0063] Specifically, the command and dispatch of 5G private networks includes the following steps: Based on the service connectivity guarantee list generated by intelligent resource orchestration, a network orchestration strategy is issued to the 5G private network management service to activate the 5G private network, mainly including information such as network base stations and network access equipment; In accordance with the computer network command and dispatch business process, the connection with the network management service adopts the form of real-time message interface or file interface for network command and dispatch, and the execution status is monitored.

[0064] One specific embodiment of the present invention is as follows:

[0065] To address the end-to-end business communication needs of various task member nodes, this invention utilizes business requirement analysis and network resource orchestration to plan and generate business-oriented network means combinations and resource allocation strategies, achieving a standardized, automated, and unified network resource orchestration process. This method, centered on the development of the task process, can dynamically construct and adjust information links based on various network resources, and can dynamically adapt communication links according to changes in business traffic status and strategies.

[0066] As attached Figure 1 As shown, the method of the present invention mainly consists of functional modules such as task requirement decomposition, intelligent resource orchestration, and network command and dispatch.

[0067] (1) Task requirement decomposition

[0068] As attached Figure 2 As shown, it has the ability to decompose task requirements. By parsing task information, extracting key task data, automatically analyzing task members and member relationship information, analyzing the specific requirements of end-to-end member video, voice, data and other services for information link protection, and forming a list of business protection requirements.

[0069] Specifically, the generation of the business assurance requirement list requires automatic analysis using a business requirement analysis model. Based on factors such as task member relationship information, link type, assurance level requirements, member size, member deployment location, and member equipment status, a structured business requirement analysis model is constructed. This business requirement analysis model analyzes the business requirements for video, voice, and data services according to assurance rules, as well as network quality requirements such as service assurance bandwidth and latency. It also combines the interaction status of routine assurance and on-demand assurance, interaction time plans, etc., to comprehensively generate the business assurance requirement list. Furthermore, it supports manual optimization and adjustment of the service types and network quality requirements in the requirement list.

[0070] A sample format for the generated business assurance requirements list can be found in the appendix. Figure 3 As shown.

[0071] (2) Intelligent resource orchestration

[0072] As attached Figure 4 As shown, it has intelligent resource orchestration capabilities. By inputting a list of service assurance requirements, it uses capabilities such as service means correlation analysis, resource assurance capability analysis, and network status analysis to automatically calculate service communication means and form a service communication assurance list. The analysis results include information such as member relationships, information and communication service requirements, communication link assurance means, resource requirements, priorities, and effective periods, and can be manually intervened for optimization and adjustment.

[0073] Specifically, in the intelligent resource orchestration business process, based on the end-to-end business interaction relationship, the business means correlation analysis function is used to select allocable communication links. In the process of selecting communication link node resources, the network status analysis function is used to exclude nodes with abnormal conditions. The resource guarantee capability analysis function is used to select network nodes, satellite networks and communication equipment that can be accessed, and complete the intelligent orchestration of communication network resources to generate a business communication guarantee list.

[0074] Specifically, this includes:

[0075] 1) Business Method Correlation Analysis

[0076] As attached Figure 5 and attached Figure 6As shown, a structured analysis model for business means is constructed according to the relationship of "business requirements -> communication means -> network resources". Based on the business requirements in the business assurance requirement list, communication means analysis, network resource analysis, and communication equipment analysis are performed in sequence, and resource orchestration results are generated. Among them, "business requirements" can be divided into fine-grained categories. Video includes types such as image network video, satellite video, and 5G private network video; voice includes types such as human telephone and automated telephone; data includes types such as messages, images, and documents. "Communication means" includes single-type assurance of computer network, satellite network, and 5G private network, or cross-means assurance in combination. "Network resources" supports the analysis and management of network nodes or communication equipment resources that match the assurance means, as well as resource usage information such as allocable bandwidth and latency.

[0077] Based on the differences in communication methods supported by different services, the available communication resources are analyzed according to conditions such as access distance, equipment allocation, communication coverage and resource status, and communication links are arranged and constructed.

[0078] 2) Network Status Analysis

[0079] As attached Figure 7 As shown, it possesses the capability to collect network resource data and analyze network status. It collects network resource data such as computer networks, satellite networks, 5G private networks, and communication equipment from the network management system, as well as raw data such as network performance and fault alarms. Using data governance technology, the alarm data is processed to form a consistent data format. Using big data processing technology, the data is deeply analyzed and mined to eliminate duplicate alarm information, supplement missing data in alarm information, and eliminate alarm noise data. Based on association rules such as fault source, location, resource affiliation, and service dependence, the alarm data is classified and labeled to support the analysis of effective communication links.

[0080] 3) Resource Security Capability Analysis

[0081] As attached Figure 8 As shown, based on business needs, a comprehensive analysis is conducted on the quantity, quality, distribution, and status of network resources and communication equipment. The analysis identifies resources that can meet the needs of end-to-end communication links, mainly including wired network access analysis, satellite network access analysis, and 5G private network access analysis. Together, these analyses provide resource assurance capabilities and optimize resource allocation.

[0082] Wired network access analysis involves selecting accessible computer network nodes and allocable bandwidth resources within the task activity area based on member deployment locations and network node distribution, using distance analysis.

[0083] Satellite network access analysis requires obtaining information on accessible satellite networks and stations. Satellite network access is selected based on the area covered by the satellite beam, while station access is selected based on the deployment location of members, station distribution, and communication equipment configuration.

[0084] 5G private network access analysis: 5G private network access is mainly selected based on the communication equipment configuration of the support members, and available vehicle-mounted, airborne, or shipborne base stations are selected.

[0085] (3) Network command and dispatch

[0086] Based on the service connectivity assurance list generated by the above-mentioned intelligent resource orchestration, command and dispatch of computer networks, satellite networks, and 5G private networks are carried out in stages and segments. The main process includes issuing network orchestration strategies and monitoring their execution, as shown in the appendix. Figure 9 As shown, during the operation of the task network, it can issue link adjustment policies to the network management service based on the network service traffic transmission situation, and perform online intervention.

[0087] Specifically, this includes:

[0088] 1) Computer Network

[0089] Based on the network orchestration results, network orchestration policies are issued to the computer network management service, and virtual links for the task network are created, including network members, access nodes, network devices, and network resource requirements. A diagram illustrating the computer network command and dispatch process can be found in the attached diagram. Figure 10 .

[0090] The network command and dispatch execution target is the network management service. The connection with the network management service is carried out in one of the following forms: one is the real-time message interface form, which issues network orchestration strategies according to the agreed standard interface, receives link construction feedback results, and grasps the link operation status; the other is the file interface form, which generates network orchestration strategy files and then manually transmits them to the network management service. After the link is opened, the link construction results are reported.

[0091] Reference Appendix Figure 11 As shown, the computer network command and dispatch process includes the following: generating a network orchestration policy, determining whether it has interface-based scheduling capability; if so, calling the message interface to send the message and receiving the execution result; then determining whether to continue executing the network command and dispatch task; if so, adjusting the computer network orchestration policy, regenerating the network orchestration policy, and repeating the determination of whether it has interface-based scheduling capability; if not, ending the process; if it does not have interface-based scheduling capability, generating an orchestration policy file, sending the policy file to the network management service, reporting the execution result, and determining whether to continue executing the network command and dispatch task; if so, repeating the above process; if not, ending the process.

[0092] Reference Appendix Figure 12 As shown, the computer network link adjustment intervention process is as follows: Monitor the real-time traffic, latency, and other operating status of the link; set and issue thresholds and routing strategies; determine whether the threshold is exceeded; if so, intervene to switch the transmission link and end the process; otherwise, end the process directly. Specifically, setting service traffic thresholds and routing strategies involves calculating backup network links when the service traffic / planned bandwidth >= the threshold, issuing link switching requirements, and adjusting the link according to either link switching or service load balancing to ensure normal service operation.

[0093] 2) Satellite Network

[0094] Based on the network orchestration results, the network orchestration strategy is issued to the satellite network management service to activate the satellite network, mainly including information such as the satellite network and the satellite stations joining the network. A diagram illustrating the satellite network command and dispatch process is attached. Figure 13 .

[0095] The same computer network command and dispatch business process, and the interface with network management services, uses real-time message interface or file interface for network command and dispatch to monitor execution status. For details, please refer to the appendix. Figure 14 As shown, the satellite network command and dispatch process includes the following: generating a network orchestration strategy; determining whether interface-based scheduling capability is available; if so, calling the message interface to send the message and receiving the execution result; then determining whether to continue executing the network command and dispatch task; if to continue, adjusting the satellite network orchestration strategy, regenerating the network orchestration strategy, and repeating the determination of whether interface-based scheduling capability is available; if not to continue, the process ends; if interface-based scheduling capability is not available, generating an orchestration strategy file, sending the strategy file to the network management service, reporting the execution result, and determining whether to continue executing the network command and dispatch task; if to continue, repeating the above process; if not to continue, the process ends.

[0096] 3) 5G private network

[0097] Based on the network orchestration results, network orchestration policies are issued to the 5G private network management service to activate the 5G private network, mainly including information on network base stations and network access equipment. A diagram illustrating the 5G private network command and dispatch process can be found in the attached document. Figure 15 .

[0098] The same computer network command and dispatch business process, and the interface with network management services, uses real-time message interface or file interface for network command and dispatch to monitor execution status. For details, please refer to the appendix. Figure 16As shown, the 5G private network command and dispatch process includes the following: generating a network orchestration strategy, determining whether it has interface-based scheduling capability, and if so, calling the message interface to send the message and receiving the execution result; then determining whether to continue executing the network command and dispatch task, and if so, adjusting the 5G private network orchestration strategy, regenerating the network orchestration strategy, and repeating the determination of whether it has interface-based scheduling capability; if not, ending the process; if it does not have interface-based scheduling capability, generating an orchestration strategy file, sending the strategy file to the network management service, filling in the execution result, and determining whether to continue executing the network command and dispatch task, and if so, repeating the above process; if not, ending the process.

[0099] The intelligent network resource orchestration method of this invention supports network resource scheduling in task activity scenarios. It can understand task assurance requirements, generate service communication needs and network resource scheduling strategies and plans, and distribute and implement these plans to various network management services such as computer networks, satellite networks, and 5G private networks, completing the orchestration and construction of task network communication links. Intelligent network resource orchestration primarily utilizes the analysis results of perceived network operation status data, combined with computational models such as service means correlation analysis and resource assurance capability analysis, to analyze and optimize relevant communication nodes and links, achieving rapid matching between task network and physical network resources and supporting flexible and dynamic adjustments to the task network.

[0100] The method of this invention is a task-oriented intelligent resource orchestration. It adopts task requirement decomposition technology, optimizes resources around task objectives, analyzes the characteristics and business requirements of tasks, and orchestrates resources based on business requirements to ensure that tasks receive the most suitable resource allocation and improve task execution efficiency.

[0101] The method of this invention has a high resource utilization rate, supports the automated allocation of network resources according to task needs using analysis models, reduces the degree of human intervention, quickly responds to task needs, and improves work efficiency; it supports shielding the technical differences of various network types, comprehensively utilizing resources of various types, and performing resource orchestration across network systems; and it dynamically adjusts the communication link resources and configuration strategies required for tasks by real-time monitoring and analysis of network system resource changes.

[0102] The method of this invention has high flexibility and scalability, and can cope with tasks of different scales and complexities. It can be elastically expanded according to actual needs to ensure sufficient and reasonable use of resources. It can dynamically adjust network resources according to business needs to meet complex and ever-changing business requirements. It is applicable to a variety of network environments and business needs. It can expand the types of network resources and communication equipment, and can expand the resource orchestration analysis model to further improve the accuracy of resource orchestration.

[0103] The method of this invention improves the utilization rate of network resources. By dynamically organizing and arranging various network resources, resources can be rationally allocated according to task requirements, avoiding waste and shortage of resources and improving the overall utilization rate of network resources. It also improves task execution efficiency. By intelligently analyzing task requirements and dynamically adjusting network resources, it can ensure that tasks receive sufficient resource support during execution, thereby improving task execution efficiency.

[0104] The core technical solution of this invention is an end-to-end intelligent network resource orchestration method based on big data analytics and oriented towards task requirements. This method collects and analyzes heterogeneous network operation data in real time, combines changes in business needs with the allocation of communication resources to ensure member coverage, and constructs an intelligent decision-making mechanism. This mechanism can dynamically generate the optimal network resource orchestration scheme, achieving intelligent scheduling and optimized configuration of network resources.

[0105] The main implementation process of this invention includes: collecting network resource data, operational status data, and task assurance business requirements; preprocessing the data using big data analysis technology; calculating the relevant communication methods and resource usage of task members using model tools such as business means correlation analysis and resource assurance capability analysis, and generating the optimal resource orchestration scheme that meets the task requirements; and being able to distribute network planning to network management services and monitor and dynamically intervene in the execution results in real time.

[0106] The technical problems solved by this invention mainly include the following aspects. First, traditional network resource management methods cannot meet rapidly changing business needs, leading to resource waste and low efficiency. By introducing an intelligent analysis and decision-making mechanism, rapid response to business needs and dynamic adjustment of resources can be achieved. Second, traditional network resource management methods lack automation and intelligence capabilities, requiring a large amount of manual intervention. By constructing an end-to-end intelligent orchestration process, automated and intelligent management of network resources can be achieved. Third, traditional network resource management methods lack the ability to comprehensively allocate heterogeneous networks. By introducing model tools such as business means correlation analysis, unified configuration and optimization of various network resources can be achieved.

[0107] The end-to-end intelligent network resource orchestration method invented in this invention can effectively solve the shortcomings of existing network resource orchestration methods in the face of dynamic changes in business needs, improve the comprehensive utilization rate of network resources, reduce operating costs, enhance user experience and improve network stability. This method has important practical application value and broad application prospects.

[0108] In another embodiment, the present invention provides a computer-readable storage medium storing a computer program that causes a computer to execute a task-oriented end-to-end network resource intelligent orchestration method as described above.

[0109] In another embodiment, the present invention proposes an electronic device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements a task-oriented end-to-end network resource intelligent orchestration method as described above.

[0110] In the embodiments disclosed in this application, a computer storage medium may be a tangible medium that may contain or store programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of computer storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0111] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. 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.

[0112] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A task-oriented end-to-end network resource intelligent orchestration method, characterized in that, The method comprises the following steps: extracting key data related to the task, automatically analyzing task member and member relationship information, analyzing specific needs of end-to-end members including video, voice and data services for information link protection, decomposing task requirements to form a service protection requirement list; inputting the service protection requirement list for intelligent resource arrangement, using service means correlation analysis, network state analysis and resource protection capability analysis to automatically solve the service connection means and form a service connection protection list; Based on the service connection protection list generated by the intelligent resource arrangement, the network means are commanded and dispatched in stages; In the intelligent network resource arrangement process, based on the business interaction relationship, the available communication link is selected by using the business means correlation analysis function, in the process of selecting the communication link node resource, the nodes with abnormal conditions are excluded by using the network state analysis function, the network nodes, satellite networks and communication equipment that can be accessed are selected by using the resource protection capability analysis function, the intelligent arrangement of communication network resources is completed, and the service connection protection list is generated; According to the correlation relationship of "service demand->communication means->network resource", a structured analysis model of business means correlation is constructed, and according to the service demand in the service protection requirement list, the communication means analysis, network resource analysis and communication equipment analysis are carried out in turn, and the resource arrangement result is generated; wherein, the "service demand" is divided into fine granularity, that is, the video includes image network video, satellite video and 5G private network video type, the voice includes manual telephone and automatic telephone type, and the data includes message, image and document type; "communication means" includes single type protection of computer network, satellite network and 5G private network, or combined mode cross means protection; "network resource" supports network nodes or communication equipment resources matched with protection means, and the available bandwidth and time delay resource usage information.

2. The task-oriented end-to-end network resource intelligent arrangement method according to claim 1, characterized in that, The method comprises the following steps: Based on the task member relationship information, link type, protection level requirement, member size, member deployment location and member equipment condition elements, a structured analysis model of business demand is constructed, the video, voice and data service demand, as well as the service protection bandwidth, time delay network quality requirement are analyzed according to the protection rules, and the business protection requirement list is generated by combining the normal protection, on-demand protection interaction state and interaction time plan.

3. The task-oriented end-to-end network resource intelligent arrangement method according to claim 1, characterized in that, In the process of selecting the communication link node resource, the nodes with abnormal conditions are excluded by using the network state analysis function, which comprises the following steps: The network performance, fault alarm original data are collected, the data governance technology is used, the consistent data format is formed after the alarm data is processed, the data is deeply analyzed and mined by using the big data processing technology, the repeated alarm information is excluded, the default data in the alarm information is supplemented, the alarm noise data is eliminated, and the alarm data is classified and marked according to the fault source, the occurrence position, the resource affiliation and the business dependence correlation rule, so as to support the analysis of the effective communication link.

4. The task-oriented end-to-end network resource intelligent arrangement method according to claim 1, characterized in that, The utilization resource guarantee capability analysis function selects the accessible network node, satellite network and communication equipment, and comprises the following steps: according to the business needs, the quantity, quality, distribution and state of the network resources and communication equipment are comprehensively analyzed, the resources capable of meeting the end-to-end communication link are analyzed, including wired network access analysis, satellite network access analysis and 5G private network access analysis, to jointly provide resource guarantee analysis capability, optimize resource allocation, and select the accessible network node, satellite network and communication equipment.

5. The task-oriented end-to-end network resource intelligent arrangement method according to claim 1, characterized in that, The business communication link guarantee list generated based on the resource intelligent arrangement is used for the command and dispatch of various network means in stages, and comprises the following steps: the network arrangement strategy is issued, and the execution situation is monitored; during the operation of the task network, the link adjustment strategy can be issued to the network management service according to the network business traffic transmission situation, and online intervention is performed.

6. The task-oriented end-to-end network resource intelligent arrangement method according to claim 1, characterized in that, The business communication link guarantee list generated based on the resource intelligent arrangement is used for the command and dispatch of various network means in stages, and comprises the following steps: According to the business communication link guarantee list generated based on the resource intelligent arrangement, the network arrangement strategy is issued to the computer network management service, the task network virtual link is created, and the network member, access node, network device and network resource demand are included; The execution object of the network command and dispatch is the network management service, and the network command and dispatch is connected with the network management service in any of the following forms: one is a real-time message interface form, the network arrangement strategy is issued according to the agreed specification interface, the link construction feedback result is received, the link operation state is mastered, and the other is a file interface form, the network arrangement strategy file is generated and then manually transmitted to the network management service, and the link construction result is reported after the link is opened; The business traffic threshold and the routing strategy are set, when the business traffic / arrangement bandwidth >= threshold, the backup network link is calculated, the link switching requirement is issued, the link adjustment is performed in the link switching or business responsible balancing mode, and the normal operation of the business is guaranteed.

7. A computer-readable storage medium storing a computer program, characterized in that, The computer program enables the computer to execute the task-oriented end-to-end network resource intelligent arrangement method according to any one of claims 1-6.

8. An electronic device, comprising: It comprises: The memory, the processor and the computer program stored in the memory and executable on the processor, when the processor executes the computer program, the task-oriented end-to-end network resource intelligent arrangement method according to any one of claims 1-6 is realized.

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