Particle swarm algorithm-based virtual-machine deployment method under cloud environment

Abstract

The invention discloses a particle swarm algorithm-based virtual-machine deployment method under a cloud environment, and belongs to the field of resource scheduling under cloud computing environments. For solving problems of only carrying out optimization of a single objective and lacking consideration of multiple objectives; the invention provides the particle swarm algorithm-based virtual-machine deployment method under a cloud environment. According to the method, deployment mapping between virtual machines and physical machines is established at an IaaS (Infrastructure as a Service) layer. The method of deployment mapping includes: a user-oriented virtual-machine deployment method, which includes receiving an application of a user for a virtual machine, and deploying the same to an objective physical-host on the basis of an improved multi-objective-optimization particle swarm optimization algorithm of congestion degree judgment; and a platform-oriented virtual-machine dynamic-management method, which includes deploying a virtual machine to an objective physical-host, and then judging whether status of the objective physical-host is above or below a normal threshold value, anddetermine a mapping relationship of the objective physical-host and the virtual host on the basis of an improved multi-objective-optimization particle swarm algorithm of sharing degree judgment. The virtual-machine deployment method is used for deploying the virtual machines on the objective physical-hosts.

Description

technical field [0001] A particle swarm algorithm-based virtual machine deployment method in a cloud environment is used for deploying a virtual machine on a target physical host, belonging to the field of resource scheduling in a cloud computing environment, in particular to an improved multi-objective optimization particle swarm based on Algorithmic virtual machine deployment method. Background technique [0002] The cloud environment is built on a variety of technical supports, which are developed from distributed computing, parallel processing, and grid computing. Cloud services are mainly provided by cloud data centers. Through virtualization technology, the large-scale high-performance target physical hosts, network devices, and storage devices contained in the cloud data center are virtualized into a large-scale virtual resource of computing, bandwidth, and storage. pool. [0003] The essence of virtualization technology is to decouple the computing resources on a s...

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Problems solved by technology

[0013] The purpose of the present invention is to solve the problem that the deployment of virtual machines in the prior art only optimizes a single target, and the algorithm for optimizing a single target is not flexible enough to cope with the large-scale heterogeneous cloud data center deployment environment and the dynamic needs of users; the original algorithm and It is necessary to establish a mapping relationship between pr

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