Virtual Machine Resource Deployment Algorithm Based on Meta Heuristics
ZHU Pingzhe
Abstract：Aiming to address the issues of high energy consumption and resource wastage encountered by the resource allocation form in the traditional cloud computing framework,a virtual machine resource deployment algorithm based on meta-heuristics is proposed.Firstly,taking into account the CPU type,the RAM size,and the hard disk size of the physical host,a minimization objective function that balances energy consumption and resource utilization is designed,and the virtual machine resource deployment model is constructed.Secondly,leveraging the aforementioned model,a virtual machine resource deployment algorithm based on meta-heuristics is devised.The algorithm incorporates various factors such as energy consumption and resource waste,revamps the fitness function,subdivides the population,and creates association sets and collections to acquire the global optimal deployment scheme of virtual machine resources.Simulation results demonstrate that,in comparison to several representative algorithms,the proposed offers significant advantages in terms of the energy consumption,resource waste ratio,number of active servers,algorithm execution time,and other metrics.
Keywords：cloud computingvirtual machinefitnessdeployment
Publication Date：2024-03-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 70-74,91 )