Performing Large Science Experiments on Azure: Pitfalls and Solutions

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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In  Proceedings of the 2nd IEEE Int'l Conference on Cloud Computing Technology and Science

Publisher  IEEE Computer Society

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