计算机工程与应用2016，Vol.52Issue(7)：56-61,6.DOI:10.3778/j.issn.1002-8331.1404-0234
基于布朗指数法的虚拟机动态整合方法
Dynamic consolidation of virtual machines based on Brown’s exponential smoothing
李俊涛 1吴小开1
作者信息
- 1. 杭州电子科技大学 计算机学院，杭州 310018
- 折叠
摘要
Abstract
For issue of Virtual Machine(VM)migration in cloud computing environment when it comes to meeting the demands of load balancing, auto scaling, green energy-saving etc, this paper designs a scheduling algorithm for dynamic consolidation of virtual machines based on Brown’s cubic Exponential Smoothing(ES). By organically integrating the maximum correlation policy and the algorithm denoted Power Aware Best Fit Decreasing(PABFD), the proposed algo-rithm achieves dynamic balance of the load of entire data center, as well as with the exponential smoothing prediction model to predict the workload condition in future time. The simulation results show that the algorithm can reduce the energy consumption of data centers and Service Level Agreement violations, effectively increasing the overall resource utilization of data center as the core of the cloud infrastructure.关键词
云计算/虚拟机/指数平滑法/动态整合Key words
cloud computing/virtual machine/exponential smoothing/dynamic consolidation分类
信息技术与安全科学引用本文复制引用
李俊涛,吴小开..基于布朗指数法的虚拟机动态整合方法[J].计算机工程与应用,2016,52(7):56-61,6.
