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Paper Details

Economics of Cloud Computing: a Statistical Genetics Case Study

Authors: Martin, Jeremy M. R., Barrett, Steven J., Thornber, Simon J., Bacanu, Silviu-Alin, Dunlap, Dale, Weston, Steve


We describe an experiment which aims to reduce significantly the costs of running a particular large-scale grid-enabled application using commercial cloud computing resources. We incorporate three tactics into our experiment: improving the serial performance of each work unit, seeking the most cost-effective computation cycles, and making use of an optimized resource manager and scheduler. The application selected for this work is a genetics association analysis and is representative of a common class of embarrassingly parallel problems.


Communicating Process Architectures 2009, Peter H. Welch, Herman Roebbers, Jan F. Broenink, Frederick R. M. Barnes, Carl G. Ritson, Adam T. Sampson, G. S. Stiles, Brian Vinter, 2009, pp 185 - 195 published by IOS Press, Amsterdam

Files: Paper (PDF), Slides (PDF)

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