计算机工程与应用Issue(15)：77-84,94,9.DOI:10.3778/j.issn.1002-8331.1607-0368
基于威布尔分布的云计算能耗优化模型研究
Cloud computing energy consumption optimization model research based on Weibull distribution
摘要
Abstract
In the cloud computing environment, due to complex state of virtual machine normal operation, a novel method, processor running state is thought as hardware/software series repairable system and normal operation is described by Weibull distribution, is proposed to remit serious energy problems. The correlation model among processor utilization, energy and given task completion time is structured by a semi-Markov process which formulated for virtual machine operation, Laplace-Stielties transform which used to simplify numerical calculation, and Bayesian theorem which used to remove restricted condition. Combined with repairable system lifetime distribution theory, probability density function of VMs normal operation is changed. It can obtain processor operation energy consumption and a given task completion time under different shape parameter of Weibull distribution. The implied relationship among shape parameter, processor utilization, energy and performance is analyzed to give some rational proposal in order to effectively reduce energy consumption. Numerical examples results show that increasing shape parameter is superior to improving processor utilization about reducing energy consumption. Increasing shape parameter by improving processor configuration not only can signif-icantly reduce energy consumption, and can avoid depletion of system performance.关键词
云计算/能耗/威布尔分布/形状参数/半马尔科夫过程Key words
cloud computing/energy consumption/Weibull distribution/shape parameter/semi-Markov process分类
信息技术与安全科学引用本文复制引用
郭栋,肖清泰,徐建新..基于威布尔分布的云计算能耗优化模型研究[J].计算机工程与应用,2017,(15):77-84,94,9.基金项目
国家自然科学基金(No.51406071,No.51666006). （No.51406071,No.51666006）
