CN113034163A - Dynamic generation method of virtual operation platform - Google Patents

Dynamic generation method of virtual operation platform Download PDF

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CN113034163A
CN113034163A CN202110379560.2A CN202110379560A CN113034163A CN 113034163 A CN113034163 A CN 113034163A CN 202110379560 A CN202110379560 A CN 202110379560A CN 113034163 A CN113034163 A CN 113034163A
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CN113034163B (en
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杨超
胡博
雷振江
董世丹傑
吕旭明
金垒
李伟
姜燕
张瑜
王义贺
赵永生
吴晓波
曾愚
周毅
张克利
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Information and Telecommunication Branch of State Grid Liaoning Electric Power Co Ltd
Great Power Science and Technology Co of State Grid Information and Telecommunication Co Ltd
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Sichuan Chuangshi Huaruan Technology Co ltd
State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
State Grid Sichuan Electric Power Co Ltd
Maintenance Branch of State Grid Hebei Electric Power Co Ltd
Information and Telecommunication Branch of State Grid Liaoning Electric Power Co Ltd
Great Power Science and Technology Co of State Grid Information and Telecommunication Co Ltd
Uniontech Software Technology Co Ltd
Beijing Zhongdian Feihua Communication Co Ltd
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Abstract

The invention discloses a dynamic generation method of a virtual operation platform, which comprises the following steps: a service request main body initiates a virtual platform construction request; the platform construction main body receives the virtual platform construction request and judges whether the virtual platform construction request is allowed to be accessed; if the platform construction main body allows the virtual platform construction request to be accessed, the platform construction main body calls a platform mapping algorithm and plans a mapping scheme according to resources in a virtual resource database and the virtual platform construction request; and judging whether a mapping scheme meeting the virtual platform construction request exists, if so, performing resource allocation and topology mapping of the virtual operation platform according to the virtual resources selected by the mapping scheme, and completing instantiation of the virtual operation platform. According to the invention, a self-adaptive virtual service platform generation process is constructed, and the high-efficiency multiplexing of ubiquitous power Internet of things virtual resources is realized.

Description

Dynamic generation method of virtual operation platform
Technical Field
The invention relates to a dynamic generation method of a virtual operation platform.
Background
The virtual operation platform refers to a resource scheduling platform formed by a mobile communication virtual network operator (MVNO) renting network resources of a traditional basic operator and aiming at individual needs of users, and customized and diversified services are provided for the users. Under the ubiquitous power internet of things environment, the types of power services are various, the demand degrees of different types of services on resources, QoE, safety performance and the like are also different, and how to meet the service demand of service differentiation under the ICT virtual resource application scene of a virtual power plant and the like is a direction worthy of research.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a dynamic generation method of a virtual operation platform.
The purpose of the invention is realized by the following technical scheme: a dynamic generation method for a virtual operation platform comprises the following steps:
a service request main body initiates a virtual platform construction request;
the platform construction main body receives the virtual platform construction request and judges whether the virtual platform construction request is allowed to be accessed;
if the platform construction main body allows the virtual platform construction request to be accessed, the platform construction main body calls a platform mapping algorithm and plans a mapping scheme according to resources in a virtual resource database and the virtual platform construction request;
and judging whether a mapping scheme meeting the virtual platform construction request exists, if so, performing resource allocation and topology mapping of the virtual operation platform according to the virtual resources selected by the mapping scheme, and completing instantiation of the virtual operation platform.
Preferably, the method for dynamically generating a virtual operating platform further includes:
the service request main body initiates a virtual platform removal request, the platform construction main body logs out and removes a corresponding virtual operation platform according to the virtual platform removal request, the resources allocated to the virtual operation platform are recycled, and the resource state of the virtual resource database is updated.
Preferably, the platform mapping algorithm includes:
s01, initializing a mapping scheme of a virtual platform and generating an initial population;
s02, carrying out chromosome coding on the mapping scheme;
s03, evaluating the fitness value of each individual in the initial population by utilizing a fitness function synthesized by multiple optimization targets;
s04, setting a genetic algebra as 1;
s05, selecting a preset number of individuals from the population based on the binary championship match;
s06, performing cross and mutation operations on the selected individuals;
s07, carrying out feasibility check on the crossed and mutated individuals, judging whether the individuals meet preset constraint conditions or not, and deleting the individuals which do not meet the constraint conditions;
s08, rapidly sequencing individuals meeting constraint conditions in a non-dominated manner;
s09, sorting the population, and selecting N individuals;
s10, judging whether the genetic algebra meets the requirements, if so, obtaining an optimal solution, and otherwise, executing S05.
Preferably, the constraint condition includes a resource requirement, a QoE requirement and a security requirement of the power service application, and a resource capacity limit of the physical network.
Preferably, the virtual platform construction request includes resource requirements of the virtual service platform, QoE requirements and security requirements of the service, and network topology information of the virtual platform.
Preferably, the resource requirements include computing resource requirements, bandwidth resource requirements, and storage resource requirements.
Preferably, the expression of the resource requirement is as follows:
each virtual node nν∈NνAll have CPU computing power requirements c (n)ν) And storage resource requirements s (n)v) The computing capacity and the storage resource capacity of the physical node mapped by the virtual node need to meet the computing capacity requirement and the storage resource requirement of the virtual node;
each virtual link l connecting virtual nodesvAll have bandwidth resource requirements b (l)v) And the bandwidth resource capacity of the physical link mapped by the virtual link needs to meet the bandwidth capacity requirement of the virtual node.
Preferably, the safety requirement is expressed as:
if it is
Figure BDA0003012433940000021
The virtual node of the virtual platform needs to be mapped to the trusted physical node;
if it is
Figure BDA0003012433940000022
The physical node can only bear the trusted virtual node;
if it is
Figure BDA0003012433940000023
For virtual nodes of different services, only mutually trusted virtual nodes can be mapped on the same physical node;
wherein,
Figure BDA0003012433940000024
representing a virtual node nvWith physical node nsThe mapping relation between the two elements, 1 represents mapping, and 0 represents no mapping; t is tlAnd tdRespectively representing the trust level and trust requirement of the node.
The invention has the beneficial effects that: aiming at ICT virtual resource application scenes of a virtual power plant and the like, a service demand description model facing to the power service is established from the aspects of QoE demand, safety demand, resource demand and the like, and the differentiated service demands of the power service under different service modes are described; and designing a virtual service platform mapping algorithm for service demand perception by combining heuristic algorithms such as a genetic algorithm and the like, and constructing a self-adaptive virtual service platform generation flow to realize the efficient multiplexing of ubiquitous power Internet of things virtual resources.
Drawings
Fig. 1 is a flow chart of a method for dynamically generating a virtual operating platform;
FIG. 2 is a block flow diagram of a virtual platform mapping algorithm.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1-2, the present invention provides a dynamic generation method for a virtual operation platform, comprising:
as shown in fig. 1, a method for dynamically generating a virtual operation platform includes:
s1, a service request main body initiates a virtual platform construction request. Generally, the virtual platform construction request includes resource requirements of the virtual service platform, QoE requirements and security requirements of the service, and network topology information of the virtual platform.
The resource requirements include computing resource requirements, bandwidth resource requirements, and storage resource requirements.
The expression of the resource requirement is as follows: each virtual node nv∈NvAll have CPU computing power requirements c (n)v) And storage resource requirements s (n)v) The computing capacity and the storage resource capacity of the physical node mapped by the virtual node need to meet the computing capacity requirement and the storage resource requirement of the virtual node; each virtual link l connecting virtual nodesvAll have bandwidth resource requirements b (l)v) And the bandwidth resource capacity of the physical link mapped by the virtual link needs to meet the bandwidth capacity requirement of the virtual node.
The safety requirement is expressed as: if it is
Figure BDA0003012433940000031
The virtual node of the virtual platform needs to be mapped to the trusted physical node; if it is
Figure BDA0003012433940000032
The physical node can only bear the trusted virtual node; if it is
Figure BDA0003012433940000033
For virtual nodes of different services, only mutually trusted virtual nodes can be mapped on the same physical node; wherein,
Figure BDA0003012433940000034
representing a virtual node nvWith physical node nsThe mapping relation between the two elements, 1 represents mapping, and 0 represents no mapping; t is tlAnd tdAre respectively provided withRepresenting the trust level and trust requirements of the node.
And S2, the platform construction main body receives the virtual platform construction request and judges whether the virtual platform construction request is allowed to be accessed.
And S3, if the platform construction main body allows the virtual platform construction request to be accessed, the platform construction main body calls a platform mapping algorithm and plans a mapping scheme according to resources in a virtual resource database and the virtual platform construction request.
As shown in fig. 2, in some embodiments, the platform mapping algorithm comprises:
and S01, initializing a mapping scheme of the virtual platform and generating an initial population.
S02, carrying out chromosome coding on the mapping scheme.
And S03, evaluating the fitness value of each individual in the initial population by utilizing a fitness function synthesized by multiple optimization targets.
S04, setting the genetic algebra to be 1.
S05, selecting a preset number of individuals from the population based on the binary championship match.
And S06, performing cross and mutation operations on the selected individuals.
And S07, carrying out feasibility check on the crossed and mutated individuals, judging whether the individuals meet preset constraint conditions or not, and deleting the individuals which do not meet the constraint conditions.
Typically, the constraints include resource requirements, QoE requirements and security requirements of the power service application, and resource capacity limitations of the physical network.
And S08, performing rapid non-dominated sorting on individuals meeting the constraint conditions.
And S09, sorting the population and selecting N individuals.
S10, judging whether the genetic algebra meets the requirements, if so, obtaining an optimal solution, and otherwise, executing S05.
In this embodiment, the crossover and mutation can provide sufficient diversity for the whole population in the genetic process, so that the population can be prevented from falling into a locally optimal solution, a globally optimal solution is obtained, and after crossover and mutation of each generation, feasibility check is performed on population individuals, whether the population individuals meet the constraints of QoE requirements, security requirements, resource requirements and the like of service requests is checked, and individuals not meeting the constraints are deleted.
And S4, judging whether a mapping scheme meeting the virtual platform construction request exists or not, if so, performing resource allocation and topology mapping of the virtual operation platform according to the virtual resources selected by the mapping scheme, and completing instantiation of the virtual operation platform.
In some embodiments, the virtual operation platform dynamic generation method further includes: the service request main body initiates a virtual platform removal request, the platform construction main body logs out and removes a corresponding virtual operation platform according to the virtual platform removal request, resources (including calculation, storage and network resources) allocated to the virtual operation platform are recycled, and the resource state of the virtual resource database is updated.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (8)

1. A dynamic generation method for a virtual operation platform is characterized by comprising the following steps:
a service request main body initiates a virtual platform construction request;
the platform construction main body receives the virtual platform construction request and judges whether the virtual platform construction request is allowed to be accessed;
if the platform construction main body allows the virtual platform construction request to be accessed, the platform construction main body calls a platform mapping algorithm and plans a mapping scheme according to resources in a virtual resource database and the virtual platform construction request;
and judging whether a mapping scheme meeting the virtual platform construction request exists, if so, performing resource allocation and topology mapping of the virtual operation platform according to the virtual resources selected by the mapping scheme, and completing instantiation of the virtual operation platform.
2. The dynamic virtual operation platform generation method according to claim 1, wherein the dynamic virtual operation platform generation method further comprises:
the service request main body initiates a virtual platform removal request, the platform construction main body logs out and removes a corresponding virtual operation platform according to the virtual platform removal request, the resources allocated to the virtual operation platform are recycled, and the resource state of the virtual resource database is updated.
3. The method of claim 1, wherein the platform mapping algorithm comprises:
s01, initializing a mapping scheme of a virtual platform and generating an initial population;
s02, carrying out chromosome coding on the mapping scheme;
s03, evaluating the fitness value of each individual in the initial population by utilizing a fitness function synthesized by multiple optimization targets;
s04, setting a genetic algebra as 1;
s05, selecting a preset number of individuals from the population based on the binary championship match;
s06, performing cross and mutation operations on the selected individuals;
s07, carrying out feasibility check on the crossed and mutated individuals, judging whether the individuals meet preset constraint conditions or not, and deleting the individuals which do not meet the constraint conditions;
s08, rapidly sequencing individuals meeting constraint conditions in a non-dominated manner;
s09, sorting the population, and selecting N individuals;
s10, judging whether the genetic algebra meets the requirements, if so, obtaining an optimal solution, and otherwise, executing S05.
4. The dynamic generation method for the virtual operation platform according to claim 3, wherein the constraint conditions include resource requirements, QoE requirements, and security requirements of the power service application, and resource capacity limitations of the physical network.
5. The method of claim 1, wherein the virtual platform construction request includes resource requirements of a virtual service platform, QoE requirements and security requirements of a service, and network topology information of the virtual platform.
6. The dynamic generation method for the virtual operation platform according to claim 5, wherein the resource requirements include computing resource requirements, bandwidth resource requirements and storage resource requirements.
7. The method according to claim 5, wherein the expression of the resource requirement is as follows:
each virtual node
Figure FDA0003012433930000021
Having a CPU computing power requirement c (n)v) And storage resource requirements s (n)v) The computing capacity and the storage resource capacity of the physical node mapped by the virtual node need to meet the computing capacity requirement and the storage resource requirement of the virtual node;
each virtual link l connecting virtual nodesvAll have bandwidth resource requirements b (l)v) And the bandwidth resource capacity of the physical link mapped by the virtual link needs to meet the bandwidth capacity requirement of the virtual node.
8. The method according to claim 5, wherein the security requirement is expressed as:
if it is
Figure FDA0003012433930000022
The virtual node of the virtual platform needs to be mapped to the trusted physical node;
if it is
Figure FDA0003012433930000023
The physical node can only bear the trusted virtual node;
if it is
Figure FDA0003012433930000024
For virtual nodes of different services, only mutually trusted virtual nodes can be mapped on the same physical node;
wherein,
Figure FDA0003012433930000025
representing a virtual node nvWith physical node nsThe mapping relation between the two elements, 1 represents mapping, and 0 represents no mapping; t is tlAnd tdRespectively representing the trust level and trust requirement of the node.
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US20160132310A1 (en) * 2014-11-07 2016-05-12 Amazon Technologies, Inc. Dynamic reconstruction of application state upon application re-launch
CN107566184A (en) * 2017-09-22 2018-01-09 天翼电子商务有限公司 A kind of resource unified management method and its system
CN109150627A (en) * 2018-10-09 2019-01-04 南京邮电大学 The construction method mapped based on dynamic resource demand and the virtual network of topology ambiguity
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