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云环境下一种基于能耗感知的虚拟机部署算法
引用本文:王霞俊. 云环境下一种基于能耗感知的虚拟机部署算法[J]. 计算机技术与发展, 2014, 0(10): 88-92
作者姓名:王霞俊
作者单位:常州轻工职业技术学院信息工程系,江苏常州213164
基金项目:科技部国家科技型中小企业技术创新基金项目(12C26243202586)
摘    要:云计算技术已经越来越得到人们的关注和接受。在保证用户性能的前提下,怎样有效提高服务器资源的利用率,同时又能节约能源已成为一个热门话题。针对云计算环境下虚拟机初次部署问题,提出了一种基于能耗感知的虚拟机部署算法( PAVMAA)。该算法充分考虑用户对于不同应用的不同需求,从系统整体最优角度考虑,以能耗与利用率之间的最佳组合点为出发点,通过计算虚拟机性能需求期望与服务器空闲性能之间的欧几里得距离来匹配部署虚拟机。通过Cloudsim仿真平台上的实验,结果表明:算法实现简单,能明显降低能量消耗。

关 键 词:云计算  虚拟机部署  能耗感知  资源分配

A Virtual Machine Allocation Algorithm Based on Power-aware in Cloud Computing
WANG Xia-jun. A Virtual Machine Allocation Algorithm Based on Power-aware in Cloud Computing[J]. Computer Technology and Development, 2014, 0(10): 88-92
Authors:WANG Xia-jun
Affiliation:WANG Xia-jun ( Dept. of Information Engineering,Changzhou Institute of Light Industry Technology, Changzhou 213164, China)
Abstract:Cloud computing technology has increasingly gained attention and acceptance. Besides the user performance,how to effectively improve the utilization of server resources,and how to save energy has become a hot topic of the current study. For the initial virtual ma-chine allocation in cloud computing,an Power-Aware Virtual Machine Allocation Algorithm ( PAVMAA) has been proposed in this pa-per. The algorithm considers fully the user's different needs of different applications,from the point of view of overall system optimiza-tion,and the best combination point between energy consumption and utilization of resource,by calculating Euclidean distance between the expected performance demand of the virtual machine and idle performance of the server to match the virtual machine with the server. Based on Cloudsim simulation platform,the experimental results show that the algorithm is simple,and can significantly reduce energy consumption.
Keywords:cloud computing  virtual machine allocation  power aware  resource allocation
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