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Paper Details

  title = "{E}conomics of {C}loud {C}omputing: a {S}tatistical {G}enetics {C}ase {S}tudy",
  author= "Martin, Jeremy M. R. and Barrett, Steven J. and Thornber, Simon J. and Bacanu, Silviu-Alin and Dunlap, Dale and Weston, Steve",
  editor= "Welch, Peter H. and Roebbers, Herman and Broenink, Jan F. and Barnes, Frederick R. M. and Ritson, Carl G. and Sampson, Adam T. and Stiles, G. S. and Vinter, Brian",
  pages = "185--195",
  booktitle= "{C}ommunicating {P}rocess {A}rchitectures 2009",
  isbn= "978-1-60750-065-0",
  year= "2009",
  month= "nov",
  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."

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