CN116739441A - Management method, device, equipment and storage medium for computing network service - Google Patents

Management method, device, equipment and storage medium for computing network service Download PDF

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CN116739441A
CN116739441A CN202310769402.7A CN202310769402A CN116739441A CN 116739441 A CN116739441 A CN 116739441A CN 202310769402 A CN202310769402 A CN 202310769402A CN 116739441 A CN116739441 A CN 116739441A
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information
service execution
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郭建超
王首峰
欧阳晔
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Asiainfo Technologies China Inc
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Abstract

The application provides a management method, a device, equipment and a storage medium of a computing network service, and relates to the technical field of software engineering. The method comprises the following steps: acquiring first service execution information of a service; generating an end-to-end twin network carrying the service according to the first service execution information, loading the first service execution information based on the end-to-end twin network, and obtaining the simulated running condition information of the service; and determining target service execution information corresponding to the service according to the simulated running condition information. The implementation of the application utilizes the related resource nodes and paths contained in the first service execution information to carry out twin, dynamically simulates the service execution condition, has high simulation degree, can correspondingly adjust according to the obtained simulation operation condition information to obtain the target service execution information suitable for the actual environment, improves the credibility and applicability of service simulation, can avoid the problem of needing to describe the complete network, and reduces the cost and time consumption of service simulation.

Description

Management method, device, equipment and storage medium for computing network service
Technical Field
The application relates to the technical field of software engineering, in particular to a management method, a device, equipment and a storage medium of a computing network service.
Background
In the business activities such as production and operation, when a decision is made on a certain link, the influence of the decision needs to be evaluated in advance. In conventional schemes, the impact of this decision on the operating results can be predicted empirically, but empirically derived results are less reliable and accurate.
In order to solve the problem, a service simulation mode simulates a service running structure, the service simulation simulates service execution information related to a service, wherein the simulation mode used by the traditional scheme is static simulation, for example, an enterprise intends to deploy a network, an operator formulates a network service implementation strategy for the enterprise after receiving service requirements of the enterprise, builds the network service of the enterprise according to the implementation strategy on network simulation software, performs simulation verification on service capability of the network service in the simulation software, and when a simulation verification result meets the service requirements, the service is pushed to an actual network for deployment implementation.
However, in the actual implementation process, the complete network needs to be described end to end, the cost is high, a large amount of information needs to be acquired to build the network, the time is long, and the simulation effect and the actual operation effect are different because the static simulation mode cannot accurately simulate the real environment and the conflict and influence of the service in actual operation are difficult to fully consider. For example, a lot of services exist in the existing network, and the services of the network services have mutual influences, such as influence of high buildings on signals, and the like, which influence on practical implementation effects, namely, the reliability and applicability of traditional service simulation are low.
Disclosure of Invention
The embodiment of the application provides a management method, a device, equipment and a storage medium for a computing network service, which can solve the problems of high cost, long time consumption and low reliability and applicability of the existing simulation mode. In order to achieve the object, embodiments of the present application provide the following solutions.
According to an aspect of an embodiment of the present application, there is provided a method including:
acquiring first service execution information of a service, wherein the first service execution information comprises resource node information and path information of a bearing service;
constructing an end-to-end twin network carrying the service according to the first service execution information, loading the first service execution information based on the end-to-end twin network, and obtaining the simulation running condition information of the service, wherein the simulation running condition information comprises the execution condition of the first service execution information and feedback information generated according to the execution condition;
and determining target service execution information corresponding to the service according to the simulated running condition information.
In one possible implementation manner, the acquiring the first service execution information of the service includes:
and generating first service execution information according to the acquired resource sensing information and service demand information, wherein the resource sensing information comprises current resource information, running state information and running state information of running service of the resource node.
In one possible implementation manner, the constructing an end-to-end twin network carrying the service according to the first service execution information includes:
generating a twin instance of the resource node according to a pre-stored meta model and entity information of the resource node included in the first service execution information; the entity information comprises attribute information, interface information and design configuration information of resource nodes bearing the service;
the end-to-end twinning network is generated by the twinning entity instance.
In one possible implementation, the generating the end-to-end twin network by the twin instance includes:
performing operation rule configuration according to preset requirement information or the resource node relation of the bearing service;
and according to the mapping relation between the entity and the twin instance, the perceived resource information and the running state information, virtual-real interaction between the twin and the corresponding entity is realized.
In one possible implementation manner, the loading the first service execution information based on the end-to-end twin network, and obtaining the simulated operation condition information of the service, includes:
configuring the end-to-end twin network according to the node configuration information of the bearing service and the path information;
And controlling the end-to-end twin network to simulate operation, acquiring corresponding execution conditions, and generating feedback information based on the execution conditions, wherein the execution conditions comprise the operation state of the service, the operation state of the resource node carrying the service and the overall operation condition of the bearing network.
In one possible implementation manner, the generating feedback information based on the execution condition includes:
if the execution condition is determined to meet the preset condition, generating feedback information passing verification;
if the execution condition is determined not to meet the preset condition; generating an optimization strategy of first execution service execution information based on the end-to-end twin network running state corresponding to the service and the running state information analysis of the related service, feeding back the optimization strategy, and generating feedback information based on the optimization strategy;
the preset condition comprises at least one of determining that a set minimum threshold value of a service capacity index is not reached according to the execution condition and that the service has an influence on the running service.
In one possible implementation manner, the preset condition is that the service has an effect on the running service, and the determining, according to the simulated running condition information, target service execution information corresponding to the service includes:
If the influence is determined to be acceptable, determining the first service execution information as target service execution information;
if the influence is determined to be unacceptable, judging whether to accept the optimization strategy;
if the optimization strategy information is determined to be accepted, obtaining target service execution information according to the optimization strategy information;
and if the optimization strategy is not accepted, generating second service execution information, and executing the management method of the network computing service according to the second service execution information.
The application provides a management device of a calculation network service, comprising:
the method comprises the steps of acquiring first service execution information of a service, wherein the first service execution information comprises resource node information and path information of a bearing service;
the service execution condition simulation module is used for constructing an end-to-end twin network corresponding to the service according to the first service execution information, loading the first service execution information based on the end-to-end twin network, and obtaining simulation operation condition information of the service, wherein the simulation operation condition information comprises the execution condition of the first service execution information and feedback information generated according to the execution condition;
and the target service execution information generation module is used for determining target service execution information corresponding to the service according to the simulated running condition information.
The application provides an electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to carry out the steps of the method as described above.
According to a further aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as described above.
The technical scheme provided by the embodiment of the application has the beneficial effects that:
the method for managing the network computing service acquires the first service execution information of the service, generates an end-to-end twin network related to the service according to the first service execution information, simulates service execution by using the end-to-end twin network, acquires corresponding simulated operation condition information, and acquires target service execution information according to the simulated operation condition information. The embodiment of the application obtains the first service execution information, generates an end-to-end twin network for simulating service execution by using the first service execution information, and generates target service execution information according to the service execution condition and feedback information simulated by the end-to-end twin network. Therefore, the embodiment of the application can utilize the related resource nodes and paths contained in the first service execution information to twine, dynamically simulate the service execution condition, has high simulation degree, can correspondingly adjust according to the obtained simulated operation condition information to obtain the target service execution information suitable for the actual environment, improves the credibility and the applicability of service simulation, can avoid the problem of needing to describe the complete network, and reduces the cost and the time consumption of service simulation.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following description will simply refer to the drawings that are required to be used in the description of the embodiments of the present application.
Fig. 1 is a flowchart of a method for managing an algorithm service according to an embodiment of the present application;
fig. 2 is a schematic diagram of management of an accounting network service in the management method of an accounting network service according to an embodiment of the present application;
FIG. 3 is a flowchart of another embodiment of a method for managing computing network traffic according to the present application;
FIG. 4 is a flow chart of generating an end-to-end twinning network according to an embodiment of the present application;
fig. 5 is a block diagram of a management device for a computing network service according to an embodiment of the present application;
fig. 6 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the drawings in the present application. It should be understood that the embodiments described below with reference to the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application, and the technical solutions of the embodiments of the present application are not limited.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and "comprising," when used in this specification, specify the presence of stated features, information, data, steps, operations, elements, and/or components, but do not preclude the presence or addition of other features, information, data, steps, operations, elements, components, and/or groups thereof, all of which may be included in the present specification. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein indicates at least one of the items defined by the term, e.g. "a and/or B" indicates implementation as "a", or as "a and B".
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
The technical solutions of the embodiments of the present application and technical effects produced by the technical solutions of the present application are described below by describing several exemplary embodiments. It should be noted that the following embodiments may be referred to, or combined with each other, and the description will not be repeated for the same terms, similar features, similar implementation steps, and the like in different embodiments.
The application provides a management method, a device, equipment and a storage medium of a computing network service, which aim to solve at least one technical problem in the prior art.
The embodiment of the application provides a management method of a computing network service, which is optionally applied to computing network service management related to a computing network, and the service feasibility is verified by combining the computing network with digital twinning.
Optionally, considering the cost of twin development and operation management, a local end-to-end twin network is developed and generated in the fields of high service fault time sensitivity, high service complexity and high service reinsurance, and corresponding service is loaded by using the end-to-end twin network to verify service feasibility.
In one embodiment, as shown in FIG. 2, the computing network includes a dispatch center, an infrastructure layer, an orchestration center, a twinning center, and an operations layer. The dispatching center is respectively connected with the infrastructure layer, the arranging center and the twin center, and provides registration service for entities (such as network infrastructure, computing infrastructure and the like) corresponding to each resource node for bearing service in the infrastructure layer. The registration service includes inherent attribute information of the logging entity such as performance information, capability information, etc. And, the southbound interface of the dispatching center dynamically perceives (i.e. automatically reads and inputs) the resource information (such as the resource type, the total amount of resources, the information of the resources to be served, the attribute information of the entities to be served, etc.), the running state information (performance, failure, etc.) of each resource node (i.e. the entity corresponding to the resource node) in the infrastructure layer. The north interface of the dispatching center provides configuration information of the resource nodes, and resource information and running state information of each resource node for the twin center and the arrangement center.
The scheduling center is connected with the twin center, the operation layer and the scheduling center, and is used for receiving the resource perception information (including the resource information, the running state information and the running state information of the running service) uploaded by the scheduling center in real time, storing the resource perception information in a resource information table, receiving and analyzing the service demand information (such as the network product demand and the network transaction demand) of the new service sent by the operation layer by a service analysis module of the scheduling center, transmitting the analysis result to a service execution information generation module of the scheduling center, and generating first service execution information corresponding to the first service demand according to the service demand information and the resource perception information by the service execution information generation module. The first service execution information comprises a service execution policy corresponding to a service requirement, and the policy comprises resource node information and path information of a bearing service. And the policy management module of the orchestration center can also receive feedback information fed back by the twinning center whether to be executable or related optimization policies (namely, optimization policies), verify the optimization policies after receiving the optimization policies, confirm whether to execute the optimization policies according to verification results, generate correction policies according to the optimization policies and the resource perception information after not receiving the optimization policies, and send second service execution information comprising the correction policies to the twinning center for verification. And obtaining the finally determined service execution information according to the verification result, and taking the finally determined service execution information as target service execution information of the service.
After determining that the service execution information (target service execution information) corresponding to the service requirement passes the verification of the twin center, the scheduling center issues the service execution information to the scheduling center.
The twin center comprises a twin body management module, a twin scene development module and a twin scene operation module. The twin management module is used for managing a meta-model of each type of entity (including a physical network entity and a computing resource entity) in the infrastructure layer, wherein the meta-model is a representation entity and is an attribute set of the entity. The meta model can be automatically generated, corrected manually and stored, and also can be manually analyzed and generated and stored in the twin management module, and the meta model is a basic model of a certain entity (for example, the meta model is obtained by summarizing fixed attribute information such as key information geometric information, function information, interface information, upper and lower information, performance attribute information and capability attribute information of the entity) of the entity generated by carrying out characteristic abstraction on the entity.
The twin scene development module invokes the corresponding meta model to conduct twin instantiation development on the resource node included in the first service execution information (for example, standard parameters of a base station iron tower corresponding to the resource node are correspondingly input into an attribute set corresponding to the meta model), and the twin instance is arranged and topological rule configuration is conducted to obtain an end-to-end twin network, wherein the configuration comprises the following steps: the method comprises the steps of carrying out service resource allocation on a twin instance corresponding to a resource node bearing service, and carrying out scene rule allocation on a twin entity based on a physical network operation rule (the currently developed end-to-end twin network mainly depends on rules to realize certain functions in a logic realization link).
The southbound interface of the twinning scene operation module dynamically interacts with the dispatching center to obtain the resource perception information of the entity, such as the resource information of the physical network, the operation state information of the physical entity, and the like. And when simulating the service execution condition, carrying out resource allocation and operation rule allocation in the end-to-end twin network according to the service execution information and the resource perception information. The northbound interface provides visual run-time information for the service to the top-level operational layer.
Optionally, the twinning center further includes an optimization policy generation module, where the optimization policy generation module provides the orchestration center with simulated operation condition information of the service (including information about whether to verify passing, operation state of the end-to-end twinning network of the service, optimization policy, whether to affect other services, etc.) based on the operation condition of the service.
In one embodiment, a twinning center receives a verification request sent by a programming center, the verification request includes first service execution information, resource node information and path information of a service carried in the first service execution information are obtained, a twinning body instance is generated according to an entity corresponding to a resource node in the resource node information, and programming and topology rule configuration are carried out on the twinning body instance according to topology information of a computing power network, so that an end-to-end twinning network is generated. And simulating the service execution condition of the new service by using the end-to-end twin network, the first service execution information and the real-time resource perception information of the resource node. And the twin center also judges whether the service execution condition meets the service requirement and whether the new service can influence other services according to the service execution condition, obtains information about whether verification passes or not, generates an optimization strategy or information about verification passing according to a judgment result, and feeds back the information about the simulated operation condition to the arrangement center. And after obtaining the verification request of the second service execution information sent again by the arrangement center, generating an end-to-end twin network corresponding to the second service execution information to obtain the service execution information corresponding to the second service execution information, and repeating the operations until the arrangement center determines that the target service execution information capable of being used for executing the service is obtained, so that the verification of the service execution information and the management of the network computing service are realized.
By the method, digital twin of the resource nodes related to the new service in the computing power network can be realized, the feasibility of verifying the service execution information is realized, the development and management cost of the end-to-end twin network is reduced, and the application range of the digital twin is expanded.
As shown in fig. 1, the method for managing the computing network service includes steps S101 to S103.
S101: and acquiring first service execution information of the service.
Optionally, the first service execution information includes resource node information and path information of the bearer service. The resource node information comprises the resource nodes required to be used by the service and configuration information of the resource nodes.
In one embodiment, the first service execution information is generated by an orchestration center, which sends the generated first service execution information to a twinning center. After receiving service demand information of a new service sent by an operation layer, the scheduling center generates first service execution information according to resource sensing information and the service demand information, which are uploaded by the scheduling center in real time. The resource awareness information includes current resource information of a resource node carrying the service, operation state information, and operation state information of the running service.
S102: and constructing an end-to-end twin network carrying the service according to the first service execution information, loading the first service execution information based on the end-to-end twin network, and obtaining the simulated running condition information of the service.
Optionally, the twin center obtains the resource node required by the service according to the first service execution information, and generates a corresponding twin instance according to the pre-stored meta-model and the resource perception information of the resource node provided by the scheduling center. And according to the actual conditions of the entities (such as topological relation among the entities, running state of the entities, etc.) or preset requirements (visual requirements) corresponding to the resource nodes, carrying out rule configuration on the twins to obtain the end-to-end twins network. The rule configuration includes a topology rule configuration, an operation rule configuration, a visualization rule configuration, and the like.
Optionally, after the end-to-end twin network is generated, the twin center is further connected with the scheduling center, and the end-to-end twin network is dynamically adjusted according to the resource perception information transmitted in real time by the scheduling center so as to simulate the real-time operation condition of the computing power network where the resource node related to the service is located. The twin center carries out resource and path configuration in the end-to-end twin network according to the first service execution information, simulates the execution condition of the service and generates feedback information according to the execution condition, wherein the feedback information comprises information whether the verification passes or not, and when the verification fails, the feedback information also comprises an optimization strategy of the first service execution information.
In one embodiment, according to the execution condition of the service, it is determined whether the service capability of the end-to-end twin network generated based on the first service execution information meets the service requirement of the service (for example, whether the service capability index reaches the set minimum threshold value), or whether the service can affect other running services, or whether the service simulates the preset condition to be met by executing. If the preset condition is not met, determining that the verification is not passed, and generating an optimization strategy according to the execution condition.
Optionally, when the simulation service is executed, the running state of the service, the corresponding resource information of the resource nodes carrying the service, the running state of the corresponding entity and other information can be displayed according to the received display instruction.
S103: and determining target service execution information corresponding to the service according to the simulated running condition information.
In one embodiment, the twinning center determines that the service capability meets the service requirement according to the execution condition of the service and does not affect other services, then sends an executable instruction (i.e. sends information passing verification) to the arranging center, the arranging center determines the first service execution information as target service execution information, and sends the target service execution information to the scheduling center so that the scheduling center schedules the entity of the infrastructure layer to work based on the target service execution information.
In another embodiment, the twinning center determines that the service capability meets the service requirement according to the service execution condition, but affects other services, and generates feedback information including an optimization policy, sends the relevant execution condition (including information about whether the verification is passed) and the optimization policy to the orchestration center, and the orchestration center receives the information sent by the twinning center and autonomously decides whether to accept the optimization policy (for example, determines whether the received optimization policy meets a preset rule or a preset index, and if so, determines to accept). And generating target service execution information according to the judging result of whether the optimization strategy is accepted or not. If the optimization strategy is accepted, the first service execution information is adjusted according to the optimization strategy, and target service execution information is obtained; and if the optimization strategy is not accepted and the influence on other services is determined to be acceptable, determining the first service execution information as target service execution information. If the optimization strategy is not accepted and the influence is not accepted, the arrangement center sends the service execution information to the twin center for verification according to the optimization strategy and the new service execution information (namely, the second service execution information) of the resource perception information, and if the verification is passed (the executable instruction is received and the influence is not confirmed or the influence is accepted), the new service execution information is confirmed as target service execution information. If the verification is not passed (the executable instruction is not received or the influence is not acceptable), generating new service execution information again, verifying again, and repeating the steps until the verification is passed, thus obtaining the target service execution information.
Compared with the prior art, the management method of the network computing service acquires the first service execution information of the service, generates the end-to-end twin network related to the service according to the first service execution information, simulates service execution by using the end-to-end twin network, obtains corresponding simulated operation condition information, and obtains target service execution information according to the simulated operation condition information. The embodiment of the application obtains the first service execution information, generates an end-to-end twin network for simulating service execution by using the first service execution information, and generates target service execution information according to the service execution condition and feedback information simulated by the end-to-end twin network. Therefore, the embodiment of the application can utilize the related resource nodes and paths contained in the first service execution information to twine, dynamically simulate the service execution condition, has high simulation degree, can correspondingly adjust according to the obtained simulated operation condition information to obtain the target service execution information suitable for the actual environment, improves the credibility and the applicability of service simulation, can avoid the problem of needing to describe the complete network, and reduces the cost and the time consumption of service simulation.
In a possible embodiment, the present application provides a method for managing a computing network service, as shown in fig. 3 and fig. 4, where the method includes steps S201 to S203:
S201: and generating first service execution information according to the acquired resource sensing information and the service demand information.
Optionally, the resource-aware information includes current resource information of the resource node, operational status information, and operational status information of the running service.
In one embodiment, the scheduling center acquires resource information, running state and running state information of an entity of the infrastructure layer in real time, and sends the information to the orchestration center and the twin center. And the arrangement center receives the resource sensing information, judges whether a service request sent by an operation layer is received, analyzes the service request if the service request is received, obtains service demand information of a service to be executed, carries out service arrangement according to the resource sensing information and the service demand information, and generates first service execution information comprising a configuration strategy of the service.
And after the first service execution information is generated, the arrangement center puts the first service execution information into a verification request, and sends the verification request to the twin center so as to verify whether the first service execution information can be executed through the twin center.
S202: and constructing an end-to-end twin network corresponding to the service according to the first service execution information, loading the first service execution information based on the end-to-end twin network, and obtaining the simulated running condition information of the service.
In one embodiment, the step of constructing an end-to-end twin network corresponding to the service according to the first service execution information includes:
s2021: and generating a twin instance of the resource node according to the pre-stored meta model and entity information of the resource node included in the first service execution information.
Optionally, the entity information includes attribute information, interface information, and design configuration information of the resource node. The attribute information includes information such as inherent attribute information, functional attribute, performance attribute information, topology attribute, geometry information, etc. of the entity, and the interface information includes information for interfaces such as interaction, control, data transmission, etc.
In one embodiment, the twinning center receives the first service execution information, and obtains the information of the resource node through the resource node information in the first service execution information. And calling a meta model corresponding to the resource node, and importing entity information of an entity corresponding to the resource node into the meta model to obtain a twin instance corresponding to each resource node. And, according to design configuration information, obtaining rule information which can be configured by the twin body instance, and configuring the twin body instance based on the rule information, wherein the rule information comprises visualization, relation among entities, scene rule, operation rule, topology rule and the like.
S2022: an end-to-end twinning network is generated by the twinning entity instance.
Optionally, generating the end-to-end twin network by the twin instance includes: performing operation rule configuration according to preset requirement information or resource node relation of bearing service; and according to the mapping relation between the entity and the twin instance, the perceived resource information and the running state information, realizing virtual-real interaction between the twin and the corresponding entity.
The preset requirement information includes display requirements (such as visualization) and rule requirements (such as operation requirements and resource requirements) related to the service, the resource node relation is determined according to current resource perception information of an entity corresponding to a resource node bearing the service, the operation rule configuration according to the preset requirements or the resource node relation includes rule information such as resource configuration, operation rule, topology rule, current state, whether visualization is possible or not, and the like, and the rule information is correspondingly configured to the twin instance.
In one embodiment, the twinning center obtains topology information of the computing power network corresponding to the resource node, arranges and topologically configures the twinning instance according to the topology information (such as configuring the corresponding rule of the twinning instance according to the actual situation or requirement of the entity corresponding to the twinning instance), configures the operation rule based on the state of the computing power network, configures the visualization rule based on the visualization requirement, and the like, and uses the configuration operations to obtain the end-to-end twinning network with the same structure as the actual computing power network.
Optionally, in order to realize the real simulation of the actual execution condition of the service, after generating the end-to-end twin network, the operation state, the resource information and other information of the twin instance are adjusted in real time according to the mapping relation and the perceived resource information and the operation state information of the entity, so as to realize the virtual-real interaction of the twin instance and the entity corresponding to the resource node.
In one embodiment, the twinning center is connected with a northbound interface of the dispatching center, resource perception information of an entity corresponding to the resource node is obtained through the northbound interface, virtual-real interaction between the twinning body instance and the entity is achieved through the resource perception information, and therefore the operation condition of a link corresponding to the resource node in the computing power network is presented through the end-to-end twinning network.
Optionally, loading the first service execution information based on the end-to-end twin network to obtain the simulated running condition information of the service, including: configuring an end-to-end twin network according to node configuration information and path information of a bearing service; the control end-to-end twin network simulates operation, obtains corresponding execution conditions, generates feedback information based on the execution conditions, and the execution conditions comprise the operation state of the service, the operation state of the resource node bearing the service and the overall operation condition of the bearing network. The bearer network is a power network that carries the traffic.
In one embodiment, the twin center obtains a service execution policy (including resource configuration information and path information of a resource node) according to the first service execution information, performs resource and path configuration on the end-to-end twin network according to the service execution policy, and simulates service operation through the configured end-to-end twin network to obtain service execution conditions.
Optionally, when the simulated service is running, the twinning center may also display the running state of the service, the resource information (such as available resources, consumed resources, whether resources are short-circuited, etc.) of the entity related to the end-to-end twinning network, the running state of the entity (such as the running state of the entity under the simulated running), etc. to the operation layer.
Optionally, generating feedback information based on the execution condition includes: if the execution condition is determined to meet the preset condition, generating feedback information passing verification; if the execution condition is determined to not meet the preset condition; generating an optimization strategy of the first execution service execution information based on the end-to-end twin network running state corresponding to the service and the running state information analysis of the related service, feeding back the optimization strategy, and generating feedback information based on the optimization strategy; the preset condition comprises at least one of determining that a set minimum threshold value of a service capability index is not reached and that the service has an influence on the running service according to the service execution condition.
In one embodiment, according to the execution condition of the service, it is determined that the service capability of the object (such as the entity and the computing network where the entity is located) simulated by the end-to-end twin network can meet the service requirement (if it can be determined that the set minimum threshold value of the service capability index is not met according to the execution condition, if it can be determined that the service requirement is met), and it is determined that the service cannot affect other services of the same link in the computing network according to the operation condition in the execution condition, then it is determined that the first service execution information is the target service execution information. And executing the service based on the target service execution information.
Specifically, the twinning center performs twinning verification through simulated operation, if the service capability generated by the end-to-end twinning network constructed based on the new service can meet the service requirement, and the new service cannot affect other services on a link corresponding to the power computing network through the judgment of the running condition of the network, the twinning center sends an executable instruction to the arrangement center, and after the arrangement center receives the instruction, the arrangement center sends the first service execution information as target service execution information to the dispatching center. And the scheduling center executes the new service according to the received target service execution information.
In another embodiment, the twinning center performs twinning verification through the execution condition of the service, if the service capability generated by the end-to-end twinning network corresponding to the new service can meet the service requirement, through the operation condition judgment, other services on the link are not affected, meanwhile, the twinning center finds a better execution strategy in the simulation operation, the twinning center feeds back an executable instruction to the arrangement center, and meanwhile, the execution strategy found by the twinning center in the simulation operation is used as an optimization strategy, and the optimization strategy is sent to the arrangement center. The orchestration center can autonomously decide whether to verify whether the strategy found by the twin center is adopted or not, and obtain target service execution information based on the decision result.
In one embodiment, if the twin center determines that the new service has an influence on other services based on the service execution condition, the optimization information generation module of the twin center generates an optimization strategy according to a pre-stored optimization rule (the optimization rule may include optimization contents corresponding to different influences and an optimization strategy), sends a suggested optimization instruction to the orchestration center, and feeds back the optimization strategy (for example, when a certain resource node runs the newly loaded service, an overstress condition (such as insufficient resource) occurs at an operation peak value, or the influence on other services may be caused due to the priority of the service carried by the resource node, and related adjustment suggestions).
S203: and determining target service execution information corresponding to the service according to the simulated running condition information.
The arrangement center receives the simulation running condition information, and obtains the influence generated by the loaded service and the corresponding optimization strategy (comprising contents such as an optimization object, an optimization mode and the like) according to the simulation running condition information.
Optionally, the preset condition is that the service has an influence on the running service, and determining target service execution information corresponding to the service according to the simulated running condition information includes: if the influence is determined to be acceptable, determining the first service execution information as target service execution information; if the influence is determined to be unacceptable, judging whether to accept the optimization strategy; if the optimization strategy information is determined to be accepted, obtaining target service execution information according to the optimization strategy information; and if the optimization strategy is not accepted, generating second service execution information, and executing the management method of the network computing service according to the second service execution information.
In one embodiment, if it is determined that the impact is acceptable, the first service execution information is used as target service execution information, and the target service execution information is sent to the scheduling center to execute the corresponding service. If the influence is considered to be unacceptable by the strategy management module of the arrangement center, after the optimization strategy fed back by the twin center is analyzed and arranged, the strategy adjustment scheme provided by the twin center is confirmed to be accepted, and then the strategy adjustment scheme provided by the twin center is sent to the dispatching center for strategy execution.
If the influence is determined to be unacceptable, after the arrangement center analyzes the optimization strategy fed back by the twin center, the analysis is determined to be unacceptable (for example, the optimization content mentioned by the twin center is determined to be unacceptable based on information such as service SLA (Service Level Agreement, service level agreement), preset indexes and the like), the optimization strategy fed back by the twin center and the resource perception information are rearranged to form second service execution information comprising a correction strategy, the second service execution information is sent to the twin center, and a re-verification program is started according to the second service execution information.
If the correction strategy in the second service execution information is only configured with information adjustment compared with the first service execution information, and does not involve changing the node and path of the load service, the end-to-end twin network is correspondingly adjusted according to the adjusted configuration information during verification, and the adjusted end-to-end twin network is used for verification; if the policy adjustment involves the change of the resource node and the path of the bearer, repeating the steps of regenerating the twin instance and the end-to-end twin network to verify. This process may be repeated until the service capability of the end-to-end twin network corresponding to the service execution information obtained by verification meets the service requirement, no influence or acceptable influence on other services is found, the target service execution information is obtained, and the service is executed by using the target service execution information.
The management method of the network computing service has the following advantages:
1. and carrying out twin on the resource nodes and paths related to the service, realizing virtual-real interaction between the twin instance and the physical entity, forming an end-to-end twin network through rule loading, executing service related strategy configuration in the end-to-end twin network where the service is located, and verifying the feasibility of the strategy. Therefore, the development and management cost of the end-to-end twin network is reduced, and the application efficiency of the digital twin technology is improved;
2. and when the simulation operation is performed, generating an optimization strategy according to the service execution condition, and facilitating the selection of the object for arranging the service.
3. The business model of the business bearing link is not required to be constructed, brand new business is deployed based on the dynamic empty resource of the link loaded with the business operation, and uncertainty factors brought by the rationality of the business model construction are reduced. The rationality of the policy can be judged by utilizing the characteristic parameters of the links operated after service deployment, so that the policy is adopted or revised.
The method visually displays the resource change of the entity and the running conditions of other services carried by the entity through the twin body, and simulates the service running according to the strategy configuration of the new service. Therefore, the performance impact of the service on the resources and equipment entities of the bearing network in different periods is simulated, and the policy rationality is judged based on the simulated running condition.
It should be noted that, in the alternative embodiment of the present application, the related data (such as the first service execution information, the resource node information, the path information, etc.) needs to be licensed or agreed by the user when the above embodiment of the present application is applied to a specific product or technology, and the collection, use and processing of the related data need to comply with the relevant laws and regulations and standards of the relevant country and region. That is, in the embodiment of the present application, if data related to the subject is involved, the data needs to be obtained through the subject authorization consent and in accordance with the relevant laws and regulations and standards of the country and region.
According to an aspect of the present application, as shown in fig. 5, the management device 300 of the computing network service includes a service execution information obtaining module 310, a service execution condition simulation module 320, and a target service execution information generating module 330, where the service execution information obtaining module 310 is configured to obtain first service execution information of a service, and the first service execution information includes resource node information and path information for carrying the service; the service execution condition simulation module 320 is configured to construct an end-to-end twin network carrying a service according to the first service execution information, load the first service execution information based on the end-to-end twin network, and obtain simulated operation condition information of the service, where the simulated operation condition information includes an execution condition of the first service execution information and feedback information generated according to the execution condition; the target service execution information generating module 330 is configured to determine target service execution information corresponding to the service according to the simulated operation condition information.
Optionally, the acquiring the first service execution information of the service includes:
and generating first service execution information according to the acquired resource sensing information and service demand information, wherein the resource sensing information comprises current resource information, running state information and running state information of running service of the resource node.
Optionally, constructing an end-to-end twin network for carrying the service according to the first service execution information includes:
generating a twin instance of the resource node according to a pre-stored meta model and entity information of the resource node included in the first service execution information; the entity information comprises attribute information, interface information and design configuration information of resource nodes bearing the service;
the end-to-end twinning network is generated by the twinning entity instance.
Optionally, the generating the end-to-end twin network by the twin instance includes:
performing operation rule configuration according to preset requirement information or the resource node relation of the bearing service;
and according to the mapping relation between the entity and the twin instance, the perceived resource information and the running state information, virtual-real interaction between the twin and the corresponding entity is realized.
Optionally, the loading the first service execution information based on the end-to-end twin network to obtain the simulated operation condition information of the service includes:
configuring the end-to-end twin network according to the node configuration information of the bearing service and the path information;
and controlling the end-to-end twin network to simulate operation, acquiring corresponding execution conditions, and generating feedback information based on the execution conditions, wherein the execution conditions comprise the operation state of the service, the operation state of the resource node carrying the service and the overall operation condition of the bearing network.
Optionally, the generating feedback information based on the execution condition includes:
if the execution condition is determined to meet the preset condition, generating feedback information passing verification;
if the execution condition is determined not to meet the preset condition; generating an optimization strategy of first execution service execution information based on the end-to-end twin network running state corresponding to the service and the running state information analysis of the related service, feeding back the optimization strategy, and generating feedback information based on the optimization strategy;
the preset condition comprises at least one of determining that a set minimum threshold value of a service capacity index is not reached according to the execution condition and that the service has an influence on the running service.
Optionally, the preset condition is that the service has an effect on the running service, and the determining, according to the simulated running condition information, target service execution information corresponding to the service includes:
if the influence is determined to be acceptable, determining the first service execution information as target service execution information;
if the influence is determined to be unacceptable, judging whether to accept the optimization strategy;
if the optimization strategy information is determined to be accepted, obtaining target service execution information according to the optimization strategy information;
and if the optimization strategy is not accepted, generating second service execution information, and executing the management method of the network computing service according to the second service execution information.
In an alternative embodiment, there is provided an electronic device, as shown in fig. 6, the electronic device 4000 shown in fig. 6 includes: a processor 4001 and a memory 4003. Wherein the processor 4001 is coupled to the memory 4003, such as via a bus 4002. Optionally, the electronic device 4000 may further comprise a transceiver 4004, the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data, etc. It should be noted that, in practical applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.
The processor 4001 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor 4001 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 4002 may include a path to transfer information between the aforementioned components. Bus 4002 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The bus 4002 can be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
Memory 4003 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium that can be used to carry or store a computer program and that can be Read by a computer.
The memory 4003 is used for storing a computer program for executing an embodiment of the present application, and is controlled to be executed by the processor 4001. The processor 4001 is configured to execute a computer program stored in the memory 4003 to realize the steps shown in the foregoing method embodiment.
The electronic device may be any electronic product that can perform man-machine interaction with an object, for example, a personal computer, a tablet computer, a smart phone, a personal digital assistant (Personal Digital Assistant, PDA), a game console, an interactive internet protocol television (Internet Protocol Television, IPTV), a smart wearable device, and the like.
The electronic device may also include a network device and/or an object device. Wherein the network device includes, but is not limited to, a single network server, a server group made up of multiple network servers, or a cloud based on cloud computing (CloudComputing) made up of a large number of hosts or network servers.
The network in which the electronic device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN), and the like.
Embodiments of the present application provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the foregoing method embodiments and corresponding content.
The terms "first," "second," "third," "fourth," "1," "2," and the like in the description and in the claims and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate, such that the embodiments of the application described herein may be implemented in other sequences than those illustrated or otherwise described.
It should be understood that, although various operation steps are indicated by arrows in the flowcharts of the embodiments of the present application, the order in which these steps are implemented is not limited to the order indicated by the arrows. In some implementations of embodiments of the application, the implementation steps in the flowcharts may be performed in other orders as desired, unless explicitly stated herein. Furthermore, some or all of the steps in the flowcharts may include multiple sub-steps or multiple stages based on the actual implementation scenario. Some or all of these sub-steps or phases may be performed at the same time, or each of these sub-steps or phases may be performed at different times, respectively. In the case of different execution time, the execution sequence of the sub-steps or stages can be flexibly configured according to the requirement, which is not limited by the embodiment of the present application.
The foregoing is merely an optional implementation manner of some of the implementation scenarios of the present application, and it should be noted that, for those skilled in the art, other similar implementation manners based on the technical ideas of the present application are adopted without departing from the technical ideas of the scheme of the present application, and the implementation manner is also within the protection scope of the embodiments of the present application.

Claims (10)

1. A method for managing a computing network service, comprising:
acquiring first service execution information of a service, wherein the first service execution information comprises resource node information and path information of a bearing service;
constructing an end-to-end twin network carrying the service according to the first service execution information, loading the first service execution information based on the end-to-end twin network, and obtaining the simulation running condition information of the service, wherein the simulation running condition information comprises the execution condition of the first service execution information and feedback information generated according to the execution condition;
and determining target service execution information corresponding to the service according to the simulated running condition information.
2. The method of claim 1, wherein the obtaining the first service execution information of the service comprises:
and generating first service execution information according to the acquired resource sensing information and service demand information, wherein the resource sensing information comprises current resource information, running state information and running state information of running service of the resource node.
3. The method of claim 1, wherein constructing an end-to-end twin network carrying the service from the first service execution information comprises:
Generating a twin instance of the resource node according to a pre-stored meta model and entity information of the resource node included in the first service execution information; the entity information comprises attribute information, interface information and design configuration information of resource nodes bearing the service;
the end-to-end twinning network is generated by the twinning entity instance.
4. A method according to claim 3, wherein said generating said end-to-end twinning network by said twinning instance comprises:
performing operation rule configuration according to preset requirement information or the resource node relation of the bearing service;
and according to the mapping relation between the resource entity and the twin instance, the perceived resource information and the running state information, virtual-real interaction between the twin and the corresponding entity is realized.
5. The method of claim 4, wherein the loading the first service execution information based on the end-to-end twin network to obtain the simulated run condition information of the service comprises:
configuring the end-to-end twin network according to the node configuration information of the bearing service and the path information;
and controlling the end-to-end twin network to simulate operation, acquiring corresponding execution conditions, and generating feedback information based on the execution conditions, wherein the execution conditions comprise the operation state of the service, the operation state of the resource node carrying the service and the overall operation condition of the network carrying the service.
6. The method of claim 5, wherein the generating feedback information based on the execution condition comprises:
if the execution condition is determined to meet the preset condition, generating feedback information passing verification;
if the execution condition is determined not to meet the preset condition; generating an optimization strategy of first execution service execution information based on the end-to-end twin network running state corresponding to the service and the running state information analysis of the related service, feeding back the optimization strategy, and generating feedback information based on the optimization strategy;
the preset condition comprises at least one of determining that a set minimum threshold value of a service capacity index is not reached according to the execution condition and that the service has an influence on the running service.
7. The method according to claim 6, wherein the preset condition is that the service has an effect on the running service, and the determining the target service execution information corresponding to the service according to the simulated running condition information includes:
if the influence is determined to be acceptable, determining the first service execution information as target service execution information;
if the influence is determined to be unacceptable, judging whether to accept the optimization strategy;
If the optimization strategy information is determined to be accepted, obtaining target service execution information according to the optimization strategy information;
and if the optimization strategy is not accepted, generating second service execution information, and executing the management method of the network computing service according to the second service execution information.
8. A device for managing a computing network service, the device comprising:
the system comprises a service execution information acquisition module, a service execution information processing module and a service execution information processing module, wherein the service execution information acquisition module is used for acquiring first service execution information of a service, and the first service execution information comprises resource node information and path information of a bearing service;
the service execution condition simulation module is used for constructing an end-to-end twin network corresponding to the service according to the first service execution information, loading the first service execution information based on the end-to-end twin network, and obtaining the simulation operation condition information of the service, wherein the simulation operation condition information comprises the execution condition of the first service execution information and feedback information generated according to the execution condition;
and the target service execution information generation module is used for determining target service execution information corresponding to the service according to the simulated running condition information.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to carry out the steps of the method of any one of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
CN202310769402.7A 2023-06-27 2023-06-27 Management method, device, equipment and storage medium for computing network service Pending CN116739441A (en)

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