Greening geographical load balancing

Zhenhua Liu, Minghong Lin, Adam Wierman, Steven Low, Lachlan L. H. Andrew

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

206 Citations (Scopus)

Abstract

Energy expenditure has become a significant fraction of data center operating costs. Recently, “geographical load balancing” has been suggested to reduce energy cost by exploiting the electricity price differences across regions. However, this reduction of cost can paradoxically increase total energy use. This paper explores whether the geographical diversity of Internet-scale systems can additionally be used to provide environmental gains. Specifically, we explore whether geographical load balancing can encourage use of “green” renewable energy and reduce use of “brown” fossil fuel energy. We make two contributions. First, we derive two distributed algorithms for achieving optimal geographical load balancing. Second, we show that if electricity is dynamically priced in proportion to the instantaneous fraction of the total energy that is brown, then geographical load balancing provides significant reductions in brown energy use. However, the benefits depend strongly on the degree to which systems accept dynamic energy pricing and the form of pricing used.
Original languageEnglish
Title of host publicationProceedings of the 2011 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems
Subtitle of host publicationJune 7–11, 2011, San Jose, California, USA
EditorsKimberly Keeton, Dan Rubenstein
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages233-244
Number of pages12
ISBN (Print)9781450302623
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems 2011 - San Jose, United States of America
Duration: 7 Jun 201111 Jun 2011
http://www.sigmetrics.org/sigmetrics2011/ (Conference website)
https://dl.acm.org/citation.cfm?id=1993744 (Conference Proceedings (ACM Digital Library))

Conference

ConferenceACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems 2011
Abbreviated titleSIGMETRICS 2011
CountryUnited States of America
CitySan Jose
Period7/06/1111/06/11
OtherPart of Federated Computing Research Conference (FCRC) 2011
Internet address

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