会议专题

An energy-aware VMs placement algorithm in Cloud Computing environment

With the cloud paradigm being applied broadly, how to make an efficient scheme of resource placement regarding to the energy cost has become a prerequisite problem to be solved. But nearly all of existing resource placement approaches always ignore the energy use caused by virtual machine (VM) dynamical migration. In this paper, we established the energy consumption model in cloud computing environment, and analyzed the energy use in our model. Based on the analysis, we improved the Online Bin Packing algorithm, and proposed a new energy-aware approach with consideration of energy efficiency in cloud computing environment which is composed of virtual machines. At the end of this paper, we proved our placement approach by simulation results. The simulation results show that this algorithm can not only increase resource utilization rates, but also make the data center more energy-efficient.

Cloud Computing Energy Consumption Virtual Machine Dynamical Migration Bin Packing Problem

Wang Xiaoli Liu Zhanghui

College of Mathematics and Computer SciencesFuzhou UniversityFuzhou, China College of Mathematics and Computer Sciences Fuzhou University Fuzhou, China

国际会议

2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

三亚

英文

627-630

2012-01-06(万方平台首次上网日期,不代表论文的发表时间)