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计算机科学 ›› 2015, Vol. 42 ›› Issue (Z11): 542-543.

• 智能系统及应用 • 上一篇    下一篇

数据中心电费最小化的负载调度策略

郑剑,蔡婷,杜兴   

  1. 重庆师范大学计算机与信息科学学院 重庆401331,重庆邮电大学移通学院 重庆401520,重庆师范大学计算机与信息科学学院 重庆401331
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受重庆市教委科学技术研究项目(KJ400518),重庆市教育研究项目(143018)资助

Workload Scheduling for Minimizing Electricity Cost of Data Center

ZHENG Jian, CAI Ting and DU Xing   

  • Online:2018-11-14 Published:2018-11-14

摘要: 为了降低电费成本,一些数据中心使用绿色能源供电。然而,负载的波动性和电价的时间差异性给数据中心电费成本带来了挑战。针对上述问题,提出一种低成本的负载调度算法,使得数据中心电费最小化。首先,建立电力耗费模型;然后,将电费最小化问题形式化为一个多目标约束的优化问题;最后,求解该优化问题得到相应的负载调度策略。实验结果表明:该算法可以在保证负载性能的前提下,有效降低数据中心的电费成本。

关键词: 电费,低负载,调度优化,数据中心

Abstract: In order to reduce both electricity cost and carbon emission,some data centers begin to use green energy supply.However,challenges arise with the fluctuating workload and temporally diverse electricity price to data center electricity cost.To deal with these challenges,this paper presented a workload scheduling algorithm which can minimize the total electricity cost was data center.First,a model for the total electricity cost was introduced.Then a multi-objective constrained optimization problem to the electricity cost was formulated.Finally,the corresponding workload scheduling policy was formed by solution of the optimation problem.Experimental results show that the proposed algorithm can effectively reduce the total electricity cost.

Key words: Electricity bills,Low workload,Lyapunov optimization,Data center

[1] Koomey J.Growth in data center electricity use 2005 to 2010.Oakland:Analytics Press,2011.http://www.analyticspress.com/datacenters.html
[2] Qureshi A,Weber R,Balakrishnan H,et al.Cutting the electric bill for internet-scale systems[J].ACM SIGCOMM Computer Communication Review,2009,9(4):123-134
[3] 北京市电网峰谷分时销售电价表.http://www.bjpc.gov.cn/ywpd/wjgl/cx/jz/201208/t3884351.htm
[4] 上海市居民生活用电试行居民阶梯电价的实施细则.http://www.sh.sgcc.com.cn/ FSM_CMS/ html/main/col41 /2013-03/21/20130321134924057695122_1.html
[5] Chase J S,Anderson D C,Thakar P N,et al.Managing energy and server resources in hosting centers[J].ACM SIGOPS Operating Systems Review,2001,5(5):103-116
[6] 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,2012,3(2):266-278
[7] Rao L,Liu X,Xie L,et al.Minimizing electricity cost:Optimization of distributed internet data centers in a multi-electricitymarket environment[C]∥Proc.of the IEEE INFOCOM.IEEE,2010:1-9
[8] Urgaonkar R,Urgaonkar B,Neely M J,et al.Optimal power cost management using stored energy in data centers[C]∥Proc.of the ACM SIGMETRICS Joint Int’l Conf.on Measurement and Modeling of Computer Systems.New York:ACM Press,2011:221-232
[9] Gao P X,Curtis A R,Wong B,et al.It’s not easy being green[J].ACM SIGCOMM Computer Communication Review,2012,2(4):211-222
[10] Liu Z H,Lin M H,Wierman A,et al.Greening geographical load balancing[C]∥Proc.of the ACM SIGMETRICS Joint Int’l Conf.on Measurement and Modeling of Computer Systems.New York:ACM Press,2011:233-244
[11] Deng W,Liu F M,Jin H,et al.SmartDPSS:Cost-Minimizing multi-source power supply for datacenters with arbitrary demand[C]∥Proc.of the 2013 IEEE 33rd Int’l Conf.on Distributed Computing Systems (ICDCS).IEEE,2013:420-429
[12] Georgiadis L,Neely M J,Tassiulas L.Resource allocation andcross-layer control in wireless networks[J].Foundations and Trends inNetworking,2006,1(1):1-144
[13] Neely M J.Stochastic network optimization with application to communication and queueing systems[J].Synthesis Lectures on Communication Networks,2010,3(1):1-211
[14] Fan X,Weber W D,Barroso L A.Power provisioning for a warehouse-sized computer[J].ACM SIGARCH Computer ArchitectureNews,2007,5(2):13-23
[15] Chase J S,Anderson D C,Thakar P N,et al.Managing energy and server resources in hosting centers[J].ACM SIGOPS Opera-ting Systems Review,2001,5(5):103-116
[16] Chen Y,Das A,Qin W,et al.Managing server energy and operational costs in hosting centers[J].ACM SIGMETRICS Perfor-mance Evaluation Review,2005,3(1):303-314
[17] Wang P J,Rao L,Liu X,et al.Dynamic power management of distributed Internet data centers in smart grid environment[C]∥Proc.of the IEEE Global Telecommunications Conf.(GLOBECOM 2011).IEEE,2011:1-5
[18] Zhang Y W,Wang Y F,Wang X R.Capping the electricity cost of cloud-scale data centers with impacts on power markets[C]∥Proc.of the 20th Int’l Symp.on High Performance Distributed Computing.New York:ACM Press,2011:271-272
[19] googleclusterdata.https://code.google.com/p/googleclu-sterdata/
[20] San clemente island data.http://www.nrel.gov/midc/scid/
[21] Zhang Y W,Wang Y F,Wang X R.GreenWare:Greening cloud-scale data centers to maximize the use of renewable energy[C]∥Kon F,ed.Proc.of the Middleware 2011.Berlin,Heidelberg:Springer-Verlag,2011:143-164

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