文章基本信息

标题：Research on Optimization of Bat Algorithm Based on Gauss Differential Mutation in the Cloud Computing Resources
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作者：Xuan Chen
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：4
页码：277-286
DOI：10.14257/ijgdc.2016.9.4.25
出版社：SERSC
摘要：Problem of cloud computing resource optimization has always been the research hotspot, as problems of how to satisfy execution speed, average response time and system utilization rate in resource allocation to the greatest extent. The paper first established resource scheduling model of cloud computing, and second, introduced Gaussian differential mutation into individuals of bat algorithm to narrow individual search space. The improved algorithm (GDMBA) has accelerated convergence rate of algorithm and lowered optimization in local. Through comparison with classical test function, it is proved that the algorithm has effectively improved performance of optimizing process. In simulation platform of Cloudsim, GDMBA algorithm has made great improvement in resource scheduling efficiency and task scheduling of cloud computing and effectively improved resource scheduling capacity of cloud computing system.
关键词：bat algorithm; Gauss mutation; difference; cloud computing resources