Paper Details

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Economics of Cloud Computing: a Statistical Genetics Case Study

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

Abstract:

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.

Proceedings:

db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"

Communicating Process Architectures 2009, db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
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 db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
published by IOS Press, Amsterdam

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Files: Paper (PDF), Slides (PDF)

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