A resource scheduling method for cloud system

Abstract

The present invention discloses a resource scheduling method for a cloud system. The method comprises the following steps of: in a population initialization step, an alternative scheme of resource scheduling of the cloud system is obtained, and initial population is created by utilizing the alternative scheme; in a fitness function creation step, a total fitness function is created for specific demands of resource scheduling of the cloud system; in a population screening step, individuals in the initial population are screened by utilizing the total fitness function to obtain fitted individuals; and in a resource scheduling step, a virtual machine and a node controller are subjected to resource scheduling according to the alternative scheme corresponding to the fitted individuals. Compared to the prior art, the resource scheduling method disclosed by the present invention is relatively low in transfer cost while realizing good load balancing result.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a resource scheduling method for a cloud system. Background technique [0002] Cloud computing is to provide computing, storage and network infrastructure distributed in different data centers, as well as the development platform, software and applications on it, to users in the form of services through the Internet. Because cloud computing has the characteristics of charging on demand, saving costs, and making full use of resources, the world has entered the era of cloud computing. [0003] The resources of the cloud computing application platform are widely distributed and of various types. Generally, the cloud computing application platform will reasonably allocate resources to users according to the user's usage requirements, so that the load of the entire cloud computing application platform is balanced. However, during the normal use of cloud computing, users' demands of...

AI Technical Summary

Problems solved by technology

[0007] (2) round robin algorithm: the advantage is that the load is balanced but the energy consumption is high

[0008] (3) power save algorithm: the advantage is that the energy consumption is reduced but the resource utilization rate is low

[0009] For standards such as load balancing, high resource utilization, and low migration cost, these goals cannot be met simultaneously in one scheduling algorithm

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