现代电子技术2016，Vol.39Issue(21)：21-23,28,4.DOI:10.16652/j.issn.1004-373x.2016.21.005
基于K-means和蝙蝠算法的云计算虚拟机智能调度
Cloud computing virtual machine intelligent scheduling based on K-means and bat algorithm
摘要
Abstract
To solve the resource allocation imbalance problem existing in cloud computing virtual machine scheduling,a cloud computing virtual machine intelligent scheduling method based on K-means and bat algorithm is proposed. The method ful-ly considers the complementarity of the physical node idle resource and the resource needed by virtual machine,selects the physical node as the initial clustering center,and uses the resource correlation to define the distance between them. The global searching ability of bat algorithm is used for iterative optimization to achieve the goal of reasonable virtual machine scheduling. The scheduling method was simulated. The experiment results show that the method has certain advantages in reducing the quan-tity of physical nodes and improving the resource utilization,and is an effective method.关键词
K-means/蝙蝠算法/云计算/虚拟机/调度Key words
K-means/bat algorithm/cloud computing/virtual machine/scheduling分类
信息技术与安全科学引用本文复制引用
王焱..基于K-means和蝙蝠算法的云计算虚拟机智能调度[J].现代电子技术,2016,39(21):21-23,28,4.基金项目
湖北省教育科学"十二五"规划项目(2012B453) （2012B453）
