A Case For Adaptive Datacenters To Conserve Energy and Improve Reliability
Peter Bodík, Michael Armbrust, Kevin Robert Canini, Armando Fox, Michael Guilherme Jordan, David A. Patterson · 2008
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.