Policy of Energy Optimal Management for Cloud Computing Platform with Stochastic Tasks
Policy of Energy Optimal Management for Cloud Computing Platform with Stochastic Tasks
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发表时间：
2012
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通讯作者：
Tan Yi
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作者：
Tan Yi
云计算系统运行过程中,闲置的计算节点会产生大量的闲置能耗,而且任务调度策略不匹配也会造成能耗的极大浪费。提出一种基于任务调度策略的云计算系统能源优化管理策略。首先,利用排队系统对云计算系统进行建模,分析云计算系统的平均响应时间、平均功耗,构建云计算系统的能耗模型。提出了任务调度和低执行能耗任务调度策略,分别用于减少闲置能耗和“奢侈”能耗。基于该策略的思想,设计了一种具有性能约束的最小期望执行能耗算法(ME3PC)。反复实验表明,该能耗管理策略在满足性能约束的情况下可以大幅降低能耗。
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.