计算机工程与应用2016，Vol.52Issue(15)：1-7,7.DOI:10.3778/j.issn.1002-8331.1512-0224
高效能云计算虚拟机优化部署策略
High productive virtual machine optimal placement strategy in cloud computing
摘要
Abstract
Aiming at dynamical changes of application workload requirements, a self-adaptive virtual machine optimal placement strategy is presented. First, through the hotspot detection based on robust local weight regression, this algo-rithm can decide the overload time of hosts dynamically according to the historical resource occupation information of application workload. Second, through the optimal migration period MPM and minimal migration number MNM, it can choose migrated VMs on overloaded hosts. Finally, the bin-packing algorithm PBFDH based on power consumption aware is used to deploy VMs again. Experimental results show that it not only can reduce energy consumption, but decrease SLA violation.关键词
云计算/能效/服务等级协议/虚拟机部署/强局部加权回归Key words
cloud computing/energy-efficiency/Service Level Agreement(SLA)/virtual machine placement/robust local weighted regression分类
信息技术与安全科学引用本文复制引用
张小庆..高效能云计算虚拟机优化部署策略[J].计算机工程与应用,2016,52(15):1-7,7.基金项目
广东省云计算产业国际创新研发团队项目（No.201001D0104726115）；广东省中国科学院全面战略合作专项资金竞争性分配项目（No.2013B091500023）；广东省协同创新与平台环境建设专项资金（产学研合作项目）（No.2014B090902001）。 （）
