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A multilayer service oriented container cloud resource scheduling optimization method

An optimization method and cloud resource technology, applied in resource allocation, instruments, multi-programming devices, etc., can solve the problem of response time sensitivity and achieve the effect of improving utilization rate and effective global income

Active Publication Date: 2019-06-18
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Each service instance of the microservice framework has a specific function and is deployed independently. In order to complete the functions of the entire business, multi-layer service cooperation is required, which causes additional communication overhead. is sensitive

Method used

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  • A multilayer service oriented container cloud resource scheduling optimization method
  • A multilayer service oriented container cloud resource scheduling optimization method
  • A multilayer service oriented container cloud resource scheduling optimization method

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Embodiment Construction

[0048] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings.

[0049] The first step is to build a container cloud architecture composed of multiple heterogeneous containers according to requirements.

[0050] The architecture is as figure 2 shown. Each multi-tier service is composed of multiple service instances in multiple layers, and each service instance runs in a container corresponding to it one by one. A container is the smallest unit of resource scheduling. The service instances of the same layer are the same and deployed on isomorphic containers. According to the system load pressure, a single or multiple container instances provide services at the same time; different layers run different service instances and numbers, and their The corresponding container environment can be heterogeneous. In practice, the startup time of the container i...

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Abstract

The invention discloses a multilayer service-oriented container cloud resource scheduling optimization method, which comprises the following steps of: constructing a container cloud architecture consisting of a plurality of heterogeneous containers according to the demand of providing services for a plurality of multilayer services; According to the architecture, establishing an overall revenue function of the cloud service provider for the container cloud; According to the response state of each layer of service under the multilayer service provided by the queuing theory, obtaining an overallincome model in combination with an income function, and setting an initial solution for the income model according to the service requirements of each layer of service; According to the optimizationproblem of the model, a resource distribution optimization algorithm is provided, and resource distribution is carried out according to the solution of the algorithm, so that benefit maximization ofa cloud service provider is achieved. According to the method, a container cloud optimization strategy can be provided for a cloud service provider, an elastic operation strategy of multiple layers ofrelated micro-services in the container cloud is considered, resources can be dynamically distributed according to the requirements of a user, and the utilization rate of cloud resources is increased.

Description

technical field [0001] The present invention relates to the technical field of cloud computing resource scheduling, and more specifically, to a method for optimizing multi-layer service-oriented container cloud resource scheduling. Background technique [0002] According to a report provided by the world-renowned research and consulting company Gartner, the global public cloud computing market has reached 175.8 billion US dollars in 2018. With the transfer of traditional IT services to cloud services, it is expected that by 2021, the global public cloud computing market will increase by 58.3% %, reaching 278.3 billion US dollars, cloud computing has become an important supporting industry for the IT industry. Cloud computing services provided by cloud computing providers (such as Amazon, Microsoft, IBM, etc.) target users from all walks of life. However, different industries have different requirements for service quality, such as response time requirements, availability an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/50G06N3/00
Inventor 毕敬张正龙田武
Owner BEIJING UNIV OF TECH
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