Service container resource allocation method and system under distributed cloud system-cloud cluster architecture

Abstract

The invention relates to the technical field of cloud computing, in particular to a resource allocation method and system for a service container under a distributed cloud system-cloud cluster architecture. The distribution method comprises the steps that the local micro-cloud system estimates the number of containers needing to be constructed for completing tasks and related resource demands according to task requests submitted by terminal users, and decides whether the service requests of the terminal users can be served by the local micro-cloud system or not based on a task management algorithm operated by the local micro-cloud system; if the local micro-cloud system has enough resources to directly execute the task, a virtual machine is created according to a strategy with the lowest computing service cost, and a container is created on the newly created virtual machine to provide service; and if the service cannot be performed, a cross-micro-cloud container resource allocation scheme with the lowest service cost is calculated and generated based on a double-chromosome genetic algorithm, and part or all of the tasks is transferred to other adjacent micro-cloud systems for execution. According to the invention, through cross-microcloud scheduling of physical resources, the problem of insufficient resources of a single microcloud in a business peak period is solved.

Description

technical field [0001] The invention relates to cloud computing technology, in particular to a method and system for allocating service container resources under the architecture of a distributed cloud system-cloud cluster cloud system. Background technique [0002] With the development of cloud computing technology, enterprises usually build private clouds according to their own usage requirements. In order to ensure the normal operation of the private cloud during the business peak period, the enterprise needs to configure the scale of the private cloud data center according to the expected cloud resource usage during the business peak period. However, this configuration has the following problems: [0003] (1) Because it is difficult for enterprises to determine the business demand information for cloud resources, it is difficult to accurately predict the demand for cloud resources in future business peak periods through the information of their historical business peak ...

AI Technical Summary

Problems solved by technology

[0011] In order to solve the problem of resource shortage in the micro-cloud system that provides cloud computing services in units of containers under the distributed cloud system-cloud cluster cloud system architecture and a large number of idle resources in non-peak business periods, the present invention proposes distributed Type cloud system-method and system for allocating service container resources under cloud cluster architecture

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