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2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW) (2010)
Atlanta, GA, USA
Apr. 19, 2010 to Apr. 23, 2010
ISBN: 978-1-4244-6533-0
pp: 1-7
Timothy M. Lynar , School of Design, Communication, and Information Technology, The University of Newcastle, Ourimbah, NSW, Australia
Ric D. Herbert , School of Design, Communication, and Information Technology, The University of Newcastle, Ourimbah, NSW, Australia
Simon , School of Design, Communication, and Information Technology, The University of Newcastle, Ourimbah, NSW, Australia
William J. Chivers , School of Design, Communication, and Information Technology, The University of Newcastle, Ourimbah, NSW, Australia
ABSTRACT
Energy consumption is an increasingly important consideration in computing. High-performance computing environments consume substantial amounts of energy, at an increasing financial and environmental cost. We explore the possibility of reducing the energy consumption of a grid of heterogeneous computers through appropriate resource allocation strategies. We examine a number of possible grid workload scenarios and analyse the impact of different resource allocation mechanisms on energy consumption. We perform this analysis first on a cluster of heterogeneous nodes, then on a grid of several clusters. Our results show that different resource allocation mechanisms perform better under different scenarios, and that selection of an appropriate resource allocation mechanism can significantly reduce the total grid energy consumption.
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CITATION

T. M. Lynar, R. D. Herbert, Simon and W. J. Chivers, "Reducing grid energy consumption through choice of resource allocation method," 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), Atlanta, GA, USA, 2010, pp. 1-7.
doi:10.1109/IPDPSW.2010.5470911
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