Peter Bodik and Michael Paul Armbrust and Kevin Canini and Armando Fox and Michael Jordan and David A. Patterson

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2008-127

September 26, 2008

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-127.pdf

Although there is prior work on energy conservation in datacenters, we identify a new approach based on the synergy between virtual machines and statistical machine learning, and we observe that constrained energy conservation can improve hardware reliability. We give initial results on a cluster that reduces energy costs by a factor of 5, reduces integrated circuit failures by a factor of 1.6, and disk failures by a factor of 5. We propose research milestones to generalize our results and compare them with recent related work.

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BibTeX citation:

@techreport{Bodik:EECS-2008-127,
    Author= {Bodik, Peter and Armbrust, Michael Paul and Canini, Kevin and Fox, Armando and Jordan, Michael and Patterson, David A.},
    Title= {A Case For Adaptive Datacenters To Conserve Energy and Improve Reliability},
    Year= {2008},
    Month= {Sep},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-127.html},
    Number= {UCB/EECS-2008-127},
    Abstract= {Although there is prior work on energy conservation in datacenters, we identify a new approach based on the synergy between virtual machines and statistical machine learning, and we observe that constrained energy conservation can improve hardware reliability. We give initial results on a cluster that reduces energy costs by a factor of 5, reduces integrated circuit failures by a factor of 1.6, and disk failures by a factor of 5. We propose research milestones to generalize our results and compare them with recent related work.},
}

EndNote citation:

%0 Report
%A Bodik, Peter 
%A Armbrust, Michael Paul 
%A Canini, Kevin 
%A Fox, Armando 
%A Jordan, Michael 
%A Patterson, David A. 
%T A Case For Adaptive Datacenters To Conserve Energy and Improve Reliability
%I EECS Department, University of California, Berkeley
%D 2008
%8 September 26
%@ UCB/EECS-2008-127
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-127.html
%F Bodik:EECS-2008-127