期刊论文

中文

计算机工程与应用

1002-8331

2016

52

15

1-7

10.3778/j.issn.1002-8331.1512-0224

(No.201001D0104726115):广东省云计算产业国际创新研发团队项目 (No.2013B091500023):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.2014B090902001):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)

本校为第一机构

针对云计算应用负载需求的动态变化特性,提出了一种自适应虚拟机优化部署策略。算法通过基于强局部加权回归的热点发现机制,可以根据负载所体现的资源占用历史信息动态决策主机的超载时机;通过迁移周期最优算法MPM和迁移量最少算法MNM进行超载主机的迁移虚拟机选择;提出基于功耗感知的PBFDH算法对迁移虚拟机再次优化部署。实验结果表明,算法不仅可以降低能耗,还可以降低SLA违例率。

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...