Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/927159
- Reducing grid energy consumption through choice of resource allocation method
Lynar, Timothy M.;
Chivers, William J.
- The University of Newcastle. Faculty of Science & Information Technology, School of Design Communication and Information Technology
- 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.
- 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW). Proceedings of the 24th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2010) and IPDPS 2010 Workshops & PhD Forum (IPDPSW) (Atlanta, GA 19-23 April, 2010)
- Publisher Link
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper