摘要
为了减少大规模数据中心的能耗,设计了一种虚拟机部署算法—三阈值节能算法(VMD_TES)。该算法通过处理器资源利用率和能耗的线性关系,把负载过重与负载过轻主机上的虚拟机转移至负载适度的主机上,负载正常主机上的虚拟机不进行转移。在VMD_TES的基础上,进一步设计了4种虚拟机的选择策略,并利用实验对比选择其中最低潜在增长策略作为最佳策略。仿真结果表明,相较于单阈值算法与双阈值算法,该种虚拟机选择策略可以大幅度减少数据中心的能耗,使服务质量保持在较高水平。
In order to reduce the energy consumption of large-scale data centers, a new virtual machine deployment algorithm, three threshold energy saving algorithm(VMD_TES), is proposed. Through analysing the linear relationship between the resource utilization ratio and energy consumption, the proposed algorithm transfers virtual machines from the over-loaded and under-loaded host computers to the moderate loaded ones. Then, on the basis of VMD_TES, four types of virtual machine selection strategies are designed, and the lowest potential growth strategy is chosen as the best strategy as a result of experimental comparison. Simulation results show that the HLGP method can greatly reduce the energy consumption of data centers, so that the service quality is kept at a higher level than the single threshold algorithm and the dual threshold algorithm.
作者
王伟
WANG Wei(Network and Educational Technology Center,Changzhou Institute of Technology,Changzhou 213002,China)
出处
《控制工程》
CSCD
北大核心
2018年第7期1291-1296,共6页
Control Engineering of China
关键词
云计算
虚拟机部署
能耗
节能算法
服务质量
Cloud computing
virtual machine deployment
energy consumption
energy saving algorithm
service quality