@InProceedings{Martin09,
  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."
}