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

Lookup NU author(s): Dr Stephen McGough, Dr Matthew ForshawORCiD, Dr Clive Gerrard, Dr Paul Robinson, Dr Stuart Wheater


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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. Copyright (c) 2013 John Wiley & Sons, Ltd.

Publication metadata

Author(s): McGough AS, Forshaw M, Gerrard C, Robinson P, Wheater S

Publication type: Article

Publication status: Published

Journal: Concurrency and Computation: Practice and Experience

Year: 2013

Volume: 25

Issue: 18

Pages: 2501-2522

Print publication date: 25/12/2013

Online publication date: 21/11/2013

Acceptance date: 04/06/2013

ISSN (print): 1532-0626

ISSN (electronic): 1532-0634

Publisher: Wiley-Blackwell


DOI: 10.1002/cpe.3082


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