Journal on Communications ›› 2016, Vol. 37 ›› Issue (3): 90-97.doi: 10.11959/j.issn.1000-436x.2016056

• Academic paper • Previous Articles     Next Articles

Optimizing demand charge of data center base on PE method

Yan HUANG1,2,Peng WANG3,Gao-hui XIE4   

  1. 1 Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu 610041,China
    2 University of Chinese Academy of Sciences,Beijing 100049,China
    3 School of Computer Science and Technology,Southwest U iversity for Nationalities,Chengdu 610041,China
    4 Guangzhou Wuzhou Technology Corporation,Guangzhou 510000,China
  • Online:2016-03-25 Published:2017-08-04
  • Supported by:
    The National Natural Science Foundation of China;Guangdong Science and Technology Plan of Indus-trial High-Technology;Chengdu Innovation and Development Strategy Research Project

Abstract:

Demand charge and energy charge are the two main components of data center electricity cost,previous re-searches have not take demand charge into consideration.PEDC algorithm was proposed by modeling time slot,work-load,service quality constraint and response time constraint.With PEDC algorithm peak power was decreased by partial execution on the condition of service quality constrai and response time constraint.PE method was executed in the heavy loaded time slots to reduce peak power so as to ize demand charge.Energy charge and total charge were also optimized.By comparing with four algorithms and with accurately predicted,PEDC algorithm can reduce elec-tricity cost by 5.9%~12.7% and improve cluster utilization 1.32 times.

Key words: PE method, demand charge, energy charge, energy cost optimization

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