Analysis of power-saving techniques over a large multi-use cluster with variable workload

McGough, Andrew Stephen; Forshaw, Matthew; Gerrard, Clive; Robinson, Paul; Wheater, Stuart

doi:10.1002/cpe.3082

Analysis of power-saving techniques over a large multi-use cluster with variable workload

McGough, Andrew Stephen; Forshaw, Matthew; Gerrard, Clive; Robinson, Paul; Wheater, Stuart

Authors

Andrew Stephen McGough

Matthew Forshaw

Clive Gerrard

Paul Robinson

Stuart Wheater

Abstract

Reduction of power consumption for any computer system is now an important issue, although this should be carried out in a manner that is not detrimental to the users of that computer system. We present a number of policies that can be applied to multi-use clusters where computers are shared between interactive users and high-throughput computing. We evaluate policies by trace-driven simulations to determine the effects on power consumed by the high-throughput workload and impact on high-throughput users. We further evaluate these policies for higher workloads by synthetically generating workloads based around the profiled workload observed through our system. We demonstrate that these policies could save 55% of the currently used energy for our high-throughput jobs over our current cluster policies without affecting the high-throughput users’ experience.

Citation

McGough, A. S., Forshaw, M., Gerrard, C., Robinson, P., & Wheater, S. (2013). Analysis of power-saving techniques over a large multi-use cluster with variable workload. Concurrency and Computation: Practice and Experience, 25(18), 2501-2522. https://doi.org/10.1002/cpe.3082

Journal Article Type	Article
Acceptance Date	Jun 4, 2013
Publication Date	Dec 25, 2013
Deposit Date	Dec 13, 2015
Publicly Available Date	Dec 14, 2015
Journal	Concurrency and Computation: Practice and Experience
Print ISSN	1532-0626
Electronic ISSN	1532-0634
Publisher	Wiley
Peer Reviewed	Peer Reviewed
Volume	25
Issue	18
Pages	2501-2522
DOI	https://doi.org/10.1002/cpe.3082
Keywords	Cluster, Energy, Policy, Simulation.

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Copyright Statement
This is the accepted version of the following article: McGough, A. S., Forshaw, M., Gerrard, C., Robinson, P. and Wheater, S. (2013), Analysis of power-saving techniques over a large multi-use cluster with variable workload. Concurrency and Computation: Practice and Experience, 25(18): 2501-2522, which has been published in final form at http://dx.doi.org/10.1002/cpe.3082. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.