The LINPACK Benchmark: An Explanation
Proceedings of the 1st International Conference on Supercomputing
Matchmaking: Distributed Resource Management for High Throughput Computing
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Developing a cost-effective virtual cluster on the cloud
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
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There is a growing tension within large organisations such as universities between the desire to perform vast amounts of computational processing and the desire to reduce power consumption by switching off computers. This situation will only worsen as computational problems get larger and the desire to save energy escalates. Through careful management of computing resources it is possible to maximise effective computer usage whilst minimising power consumption though this can be costly in terms of human effort. We present our work with the Agility Cloud Computing Platform to provide intelligent control over a University-wide Condor system, which works to reduce power consumption without adversely affecting the Condor users. This system also provides auditing of the power usage, which can be used to determine the power efficiency of the Condor system.