Abstract

Carrying out science at extreme scale is the next
generational challenge facing the broad field of scientific
research. Cloud computing offers to potential for an increasing
number of researchers to have ready access to the large
scale compute resources required to tackle new challenges in
their field. Unfortunately barriers of complexity remain for
researchers untrained in cloud programming. In this paper we
examine how cloud based architectures can be used to solve
large scale research experiments in a manner that is easily accessible
for researchers with limited programming experience,
using their existing computational tools. We examine the top
challenges identified in our own large-scale science experiments
running on the Windows Azure platform and then describe
a Cloud-based parameter sweep prototype (dubbed Cirrus)
which provides a framework of solutions for each challenge.

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