CN111552482A - Decentralized dynamic service deployment method and device suitable for edge computing - Google Patents
Decentralized dynamic service deployment method and device suitable for edge computing Download PDFInfo
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- G06F9/00—Arrangements for program control, e.g. control units
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Abstract
The invention discloses a decentralized dynamic service deployment method and a decentralized dynamic service deployment device suitable for edge computing, wherein the method comprises the following steps: auditing the packaging of the received micro-service application program based on an initial consensus mechanism; if the audit is passed, deploying the micro-service application program to a default server in the specified service network determined by the initial consensus mechanism; if the preset type of resources provided by the default server is judged to be lower than the preset resource threshold value of the corresponding type, other servers meeting the preset type of resources in the specified service network are obtained; and selecting an optimal path server from the other servers according to a preset rule, and deploying the micro-service application program into the optimal path server. The invention can realize the dynamic deployment of the micro-service application program, thereby realizing the dynamic and flexible allocation of resources and optimizing the deployment effect.
Description
Technical Field
The invention relates to a decentralized dynamic service deployment method and device suitable for edge computing.
Background
The relevance of the mobile terminal and the network service is continuously improved along with the realization of the function and the service, and different application programs can provide different service experiences for consumers.
In an application program, if the application program needs to provide services for consumers by using a network, there is a problem of server deployment naturally, and a traditional deployment scheme is based on a specific central server, and the services are maintained through resource capacity provided by the central server. However, under this scheme, there are problems that the application publisher needs the corresponding server for application publication and the deployment of the server is not flexible enough.
Disclosure of Invention
The invention provides a decentralized dynamic service deployment method and device suitable for edge computing, aiming at the problem that the existing server is not flexible to deploy.
The technical scheme provided by the invention for the technical problem is as follows:
in one aspect, the present invention provides a decentralized dynamic service deployment method applicable to edge computing, where the method includes:
auditing the packaging of the received micro-service application program based on an initial consensus mechanism;
if the audit is passed, deploying the micro-service application program to a default server in the specified service network determined by the initial consensus mechanism;
if the preset type of resources provided by the default server is judged to be lower than the preset resource threshold value of the corresponding type, other servers meeting the preset type of resources in the specified service network are obtained;
and selecting an optimal path server from the other servers according to a preset rule, and deploying the micro-service application program into the optimal path server.
According to the foregoing dynamic service deployment method for decentralization by edge computing, before the auditing the packaging of the received microservice application based on the initial consensus mechanism, the method further includes:
the package of the microservice application is submitted to a specified service network by a microservice application publisher.
According to the decentralized dynamic service deployment method applicable to edge computing, the acquiring information of other servers meeting the preset resource category in the specified service network includes:
screening resource information of other servers meeting the preset kinds of resources from the broadcast information in the specified network service, wherein the preset kinds of resources at least comprise one or more of the following:
computing power resources, storage power resources, and bandwidth resources.
According to the decentralized dynamic service deployment method applicable to edge computing, selecting the optimal path server from the other servers according to a preset rule includes:
selecting a server with a set bandwidth range from the other servers according to the server bandwidth; and/or
Selecting a server with a set service quality grade from the other servers according to the service quality of the server; and/or
And selecting a server which is far away from the application distribution area and meets the close range condition from the other servers according to the application distribution area of the micro-service application.
According to the decentralized dynamic service deployment method applicable to edge computing, selecting the optimal path server from the other servers according to a preset rule includes:
and selecting a default path server from the other servers according to a preset rule.
According to the above dynamic deployment method of decentralized services applying edge computing, the method further comprises:
and after receiving the query request of the preset type identification information, the specified service network returns the optimal path information to the user pointed by the preset type identification information.
In another aspect, the present invention further provides a decentralized dynamic service deployment apparatus suitable for edge computing, where the apparatus includes:
the auditing module is used for auditing the packaging of the received micro-service application program based on an initial consensus mechanism;
the deployment module is used for deploying the micro-service application program to a default server in the specified service network determined by the initial consensus mechanism after the examination is passed;
the judging module is used for judging a comparison result of the preset resource type provided by the default server and a preset resource threshold value of the corresponding type;
the acquisition module is used for acquiring other servers meeting the preset types of resources in the specified service network;
and the redeployment module is used for selecting the optimal path server from the other servers according to a preset rule and deploying the micro service application program to the optimal path server.
The decentralized dynamic service deployment device according to the above suitable edge computing further includes a receiving module for receiving a package of micro-service applications submitted by a micro-service application publisher.
The decentralized dynamic service deployment device according to the above applicable edge calculation further includes a broadcasting module, configured to broadcast the resource information of the other servers in the specified service network.
The decentralized dynamic service deployment device based on the edge calculation further comprises a query module, wherein the query module is used for returning optimal path information to a user pointed by the preset type identification information after receiving a query request of the preset type identification information.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the invention can deploy the micro-service application program to the optimal path server, and realize dynamic deployment of the micro-service application program, thereby realizing dynamic flexible allocation of resources and optimizing the deployment effect. Meanwhile, decentralized service deployment can be achieved because distributed resources are utilized for publishers of microservice applications. The publisher of the micro-service application program does not need to set a specific server, and the publisher publishes the application only needs to consider the service per se and does not need to consider the deployment problem of the application any more.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a decentralized dynamic deployment method of services for edge computing according to the present invention.
FIG. 2 is a functional block diagram of a decentralized dynamic service deployment device for edge computing according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of a decentralized dynamic service deployment method suitable for edge computing is provided. The decentralized dynamic service deployment method suitable for edge computing can be applied to the deployment of micro-service application programs, and the deployment is realized through intelligent contracts, consensus mechanisms and path selection mechanisms in the simulated block chains.
As shown in fig. 1, the dynamic service deployment method applying edge computing for decentralized service includes:
s101: the packaging of the received microservice application is checked based on an initial consensus mechanism, which may be any one of a workload certification consensus mechanism (profofwork, POW), a stock right certification consensus mechanism (profofstamp, POS), and a bayesian consensus algorithm consensus mechanism (PBFT), and may specifically be determined based on audience distribution of a region or an application.
In this step, after the micro service application publisher completes the development of the micro service application, the micro service application is packaged and submitted to the specified service network determined by the initial consensus mechanism. The purpose of the auditing is mainly to check the correctness and applicability of the microservice application provided by the microservice application publisher.
It is understood that, before step S101, the package of the micro service application may be directly submitted to the initial service network by the micro service application publisher for subsequent review thereof.
S102: and if the audit is passed, deploying the micro-service application program to a default server in the specified service network determined by the initial consensus mechanism.
In this step, the service provider provides resource information of its server itself, where the resource information may include calculation performance and storage performance information, and broadcasts in the specified service network, and a specified server or a server satisfying a default condition may be set as the default server by default.
S103: and if the preset type of resources provided by the default server is judged to be lower than the preset resource threshold value of the corresponding type, acquiring other servers meeting the preset type of resources in the specified service network.
In this step, while or after the default server is running, due to the increase of the service objects corresponding to the micro-service application program, the resources that can be provided by the default server may no longer be well suited for the provision of the current service, and at this time, it may be determined whether the preset type of resources provided by the specified server is lower than the preset resource threshold of the corresponding type, and when the determination result is that the preset type of resources provided by the default server is lower than the preset resource threshold of the corresponding type, an obtaining action is performed.
Of course, in the determination, further requirements may be made on the server, that is, the server that does not meet the minimum operation requirement may be strictly limited, so that the acquired server may ensure the operation of the microservice application program, and the stable guarantee of the operation of the server itself may also be realized.
The preset type of resource may include a computing capability resource, a storage capability resource, a bandwidth resource, and the like, and accordingly, the computing capability resource is a computing capability resource threshold, the storage capability resource is a storage capability resource threshold, and the bandwidth resource is a bandwidth resource threshold. Of course, operating environment resources and the like may also be included, such as power supplies or power modes, systems, language support, device/environment temperatures, lists of supported services, and the like.
In addition, based on the distribution of the service resources provided by the network service provider, the distribution can also be used as a trigger condition for acquiring other servers meeting the preset types of resources in the specified service network.
S104: and selecting an optimal path server from the other servers according to a preset rule, and deploying the micro-service application program into the optimal path server.
In this step, the selecting an optimal path server from the other servers according to a preset rule may include:
selecting a server with a set bandwidth range from the other servers according to the server bandwidth; and/or
Selecting a server with a set service quality grade from the other servers according to the service quality of the server; and/or
And selecting a server which is far away from the application distribution area and meets the close range condition from the other servers according to the application distribution area of the micro-service application.
In addition, the selecting the optimal path server from the other servers according to the preset rule may further be selecting a default path server from the other servers according to the preset rule.
The method and the system adopt a block chain simulating mechanism, check the received package of the micro-service application program based on an initial consensus mechanism, and deploy the micro-service application program to a default server in a specified service network determined by the initial consensus mechanism after the check is passed. And then, comparing and judging the preset type resource provided by the default server with the preset resource threshold value of the corresponding type, and acquiring other servers meeting the preset type resource in the specified service network when judging that the preset type resource provided by the default server is lower than the preset resource threshold value of the corresponding type. And finally, selecting an optimal path server from the other servers according to a preset rule, and deploying the micro-service application program to the optimal path server, so that the dynamic deployment of the micro-service application program is realized, the dynamic flexible allocation of resources can be realized, and the deployment effect is optimized. Meanwhile, decentralized service deployment can be achieved because distributed resources (computing resources and storage resources provided by service providers, etc.) are utilized for publishers of microservice applications. The publisher of the micro-service application program does not need to set a specific server, and the publisher publishes the application only needs to consider the service per se and does not need to consider the deployment problem of the application any more.
Referring to fig. 2, a functional module diagram of a decentralized dynamic service deployment device suitable for edge computing is provided. Corresponding to the method, the present invention further provides a decentralized dynamic service deployment apparatus 1 suitable for edge computing, as shown in fig. 2, the apparatus may include:
and the auditing module 11 is configured to audit the packaging of the received micro-service application program based on the initial consensus mechanism.
And the deployment module 12 is configured to deploy the micro-service application to a default server in the specified service network determined by the initial consensus mechanism after the auditing is passed.
And the judging module 13 is configured to judge a comparison result between the preset resource of the type provided by the default server and a preset resource threshold of the corresponding type.
An obtaining module 14, configured to obtain other servers in the specified service network that meet the preset category of resources.
And the redeployment module 15 is configured to select an optimal path server from the other servers according to a preset rule, and deploy the micro service application program to the optimal path server.
It can be understood that the auditing module 11, the deploying module 12, the determining module 13, the obtaining module 14, and the redeploying module 15 may be respectively disposed in one or more different computers to perform processing so as to complete and implement corresponding functions, and the deploying module 12 and the redeploying module 15 may be combined into a deploying functional module to implement the deploying and redeploying functions of the microservice application.
In addition, the decentralized dynamic service deployment device according to the above applicable edge calculation may further include other modules to implement corresponding functions, such as a receiving module, for receiving a package of the micro service application submitted by the micro service application publisher. Also, for example, the broadcasting module is configured to broadcast the resource information of the other servers in the specified service network. And the reentry query module is used for returning the optimal path information to the user pointed by the preset type identification information after receiving the query request of the preset type identification information.
The invention also provides a communication system applying the decentralized service dynamic deployment method applicable to edge computing on the basis of the method and the device, wherein the communication system can comprise a consumer terminal, a micro-service application publisher terminal, a default server, a specified network service platform and other servers. And the micro-service application publisher submits the package of the micro-service application to a specified network service platform by using the terminal of the micro-service application publisher. And based on an initial consensus mechanism, a specified network service platform checks the package of the micro-service application program, and after the check is passed, the micro-service application program is deployed to a default server in the specified service network determined by the initial consensus mechanism.
After a period of operation, with the increasing number of consumers (i.e. the aforementioned service objects) and corresponding consumer terminals, it may happen that the resources provided by the current server are insufficient to support the service requirements of the consumers. Therefore, when the preset type resource provided by the default server is judged to be lower than the preset resource threshold value of the corresponding type, other servers meeting the preset type resource in the specified service network are obtained, an optimal path server is selected from the other servers according to a preset rule, and the micro-service application program is deployed to the optimal path server, so that the dynamic deployment of the micro-service application program is realized.
In the invention, after the micro-service application program publisher finishes the development of the program, the micro-service application program publisher submits the package of the micro-service application program to the specified service network platform, and then the specified service network platform verifies the package based on the initial consensus mechanism achieved by the platform, and the verification can be performed based on the conditions of the region, the distribution of application program audiences and the like.
In the invention, the consumer corresponds to the consumer terminal, and the consumer at the position is the person who consumes the corresponding micro service application program service. The method can utilize a specific Identification (ID) code to query and receive a query result in a specified service network, for example, a consumer queries an optimal service path between the consumer and a service provider, and a specified network service platform can return a corresponding service path to the consumer based on a consensus mechanism. And the consumer can find the corresponding micro-service application program publisher according to the returned path information. Of course, in the marketplace, a given web service platform and microservice application publisher may charge a certain fee, such as bitcoin, to the consumer.
The invention does not adopt the traditional method of obtaining the position of the server according to the IP address or the domain name, but directly inquires through the specific identity code and returns the optimal resource (server) position for finally providing the service according to the contract, thereby providing the optimal server deployment for the consumer to better realize the consumption.
In the invention, the appointed network service platform is composed of service providers, and the service providers provide specific servers corresponding to the corresponding resource capacity (calculation, storage, service quality and bandwidth). In the server provided by the service provider, the corresponding server can be designated as the default server, and accordingly, the path of the network service platform returning to the consumer at the initial time is designated as the default path. In the appointed network service platform, when a service provider joins the network, the resource information which can be provided by the server of the service provider can be broadcasted in the network. In the marketplace, to ensure that spurious information is not broadcast, the service provider may be required to provide a fee, such as submitting a currency to the service network that specifies that the network service platform has agreed upon based on some consensus, such as some digital currency, bitcoin, or ether house, as a warranty.
It is understood that servers in the specified network service platform other than the default server may be considered other servers.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for dynamic deployment of decentralized services using edge computing, the method comprising:
auditing the packaging of the received micro-service application program based on an initial consensus mechanism;
if the audit is passed, deploying the micro-service application program to a default server in the specified service network determined by the initial consensus mechanism;
if the preset type of resources provided by the default server is judged to be lower than the preset resource threshold value of the corresponding type, other servers meeting the preset type of resources in the specified service network are obtained;
and selecting an optimal path server from the other servers according to a preset rule, and deploying the micro-service application program into the optimal path server.
2. The dynamic deployment method of edge-computed decentralized services according to claim 1, wherein before said auditing the packaging of the received microservice applications based on the initial consensus mechanism, said method further comprises:
the package of the microservice application is submitted to a specified service network by a microservice application publisher.
3. The method according to claim 1, wherein the obtaining information of other servers in the specified service network that satisfy the predetermined category of resources comprises:
screening resource information of other servers meeting the preset kinds of resources from the broadcast information in the specified network service, wherein the preset kinds of resources at least comprise one or more of the following:
computing power resources, storage power resources, and bandwidth resources.
4. The dynamic service deployment method for decentralized service according to claim 1, wherein said selecting the optimal path server from said other servers according to the preset rule comprises:
selecting a server with a set bandwidth range from the other servers according to the server bandwidth; and/or
Selecting a server with a set service quality grade from the other servers according to the service quality of the server; and/or
And selecting a server which is far away from the application distribution area and meets the close range condition from the other servers according to the application distribution area of the micro-service application.
5. The dynamic service deployment method for decentralized service according to claim 1, wherein said selecting the optimal path server from said other servers according to the preset rule comprises:
and selecting a default path server from the other servers according to a preset rule.
6. The method for dynamic deployment of services with decentralized edge computing according to claim 1, characterized in that it further comprises:
and after receiving the query request of the preset type identification information, the specified service network returns the optimal path information to the user pointed by the preset type identification information.
7. An apparatus for dynamic deployment of decentralized services for edge computing, the apparatus comprising:
the auditing module is used for auditing the packaging of the received micro-service application program based on an initial consensus mechanism;
the deployment module is used for deploying the micro-service application program to a default server in the specified service network determined by the initial consensus mechanism after the examination is passed;
the judging module is used for judging a comparison result of the preset resource type provided by the default server and a preset resource threshold value of the corresponding type;
the acquisition module is used for acquiring other servers meeting the preset types of resources in the specified service network;
and the redeployment module is used for selecting the optimal path server from the other servers according to a preset rule and deploying the micro service application program to the optimal path server.
8. The dynamic deployment apparatus of decentralized services according to claim 7, further comprising a receiving module for receiving a package of micro service applications submitted by a micro service application publisher.
9. The dynamic deployment apparatus of decentralized services according to claim 7, further comprising a broadcasting module for broadcasting resource information of said other servers in said specified service network.
10. The decentralized dynamic deployment device of services according to claim 7, further comprising a query module, configured to return the optimal path information to the user to which the predetermined type identification information points after receiving a query request of the predetermined type identification information.
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| US12106082B2 (en) | 2021-05-20 | 2024-10-01 | International Business Machines Corporation | Generative experiments for application deployment in 5G networks |
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Application publication date: 20200818 |