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随机任务在云计算平台中能耗的优化管理方法
引用本文:谭一鸣,曾国荪,王伟. 随机任务在云计算平台中能耗的优化管理方法[J]. 软件学报, 2012, 23(2): 266-278
作者姓名:谭一鸣  曾国荪  王伟
作者单位:同济大学计算机科学与技术系,上海200092;国家高性能计算机工程技术中心同济分中心,上海200092
基金项目:国家自然科学基金,国家高技术研究发展计划(863),NSFC-微软亚洲研究院联合资助项目
摘    要:针对云计算系统在运行过程中由于计算节点空闲而产生大量空闲能耗,以及由于不匹配任务调度而产生大量“奢侈”能耗的能耗浪费问题,提出一种通过任务调度方式的能耗优化管理方法.首先,用排队模型对云计算系统进行建模,分析云计算系统的平均响应时间和平均功率,建立云计算系统的能耗模型.然后提出基于大服务强度和小执行能耗的任务调度策略,分别针对空闲能耗和“奢侈”能耗进行优化控制.基于该调度策略,设计满足性能约束的最小期望执行能耗调度算法ME3PC(minimum expectation execution energy with performance constraints).实验结果表明,该算法在保证执行性能的前提下,可大幅度降低云计算系统的能耗开销.

关 键 词:绿色云计算  随机任务  能耗管理  任务调度  排队论
收稿时间:2011-07-15
修稿时间:2011-09-06

Policy of Energy Optimal Management for Cloud Computing Platform with Stochastic Tasks
TAN Yi-Ming,ZENG Guo-Sun and WANG Wei. Policy of Energy Optimal Management for Cloud Computing Platform with Stochastic Tasks[J]. Journal of Software, 2012, 23(2): 266-278
Authors:TAN Yi-Ming  ZENG Guo-Sun  WANG Wei
Affiliation:1,2 1(Department of Computer Science and Technology,Tongji University,Shanghai 200092,China) 2(Tongji Branch,National Engineering and Technology Center of High Performance Computer,Shanghai 200092,China)
Abstract:In the running process of cloud computing system,the idle compute nodes will generate a large amount of idle energy consumption.Furthermore,the unmatching task scheduling strategy will also cause a great waste of energy consumption.This paper presents a policy of energy optimal management for cloud computing system based on task scheduling strategy.First,use queueing system to model the cloud computing system for analyzing the mean response time,mean power consumption of cloud computing system,and constructing the energy consumption model of cloud computing system.In order to reduce waste of energy,a high service utilization task scheduling and a low execution energy task scheduling strategy are propsed,which are used to reduce idle energy and "luxury" energy respectively.Based on the idea of the strategies,an algorithm is designed which is called minimum expectation execution energy with performance constraints(ME3PC).Repeated experiments show that this energy management strategy can reduce the energy consumption considerably while meeting performance constraints.
Keywords:green cloud computing  stochastic task  energy management  task scheduling  queueing theory
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