Reducing grid energy consumption through choice of resource allocation method

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 compu...

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Bibliographic Details
Published in2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW) pp. 1 - 7
Main Authors Lynar, Timothy M, Herbert, Ric D, Simon, Chivers, William J
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2010
Subjects
Auction
Australia
Cooling
Costs
Energy conservation
Energy consumption
Frequency
Grid computing
Information technology
Potential energy
Resource allocation
Resource management
Voltage
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Summary: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.
ISBN:9781424465330
1424465338
DOI:10.1109/IPDPSW.2010.5470911