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ABSTRACT
Scientific discovery is transitioning from a focus on data collection to an emphasis on analysis and prediction using large-scale computation. With appropriate software support, scientists can do these computations with unused cycles in commercial clouds. Moving science into the cloud will promote data sharing and collaborations that will accelerate scientific discovery.
INDEX TERMS
Information analysis, Google, Cloud computing, Genomics, Computational modeling, DNA, distributed scheduling, eScience, scientific computing
CITATION
Joseph L. Hellerstein, Kai J. Kohlhoff, David E. Konerding, "Science in the Cloud: Accelerating Discovery in the 21st Century", IEEE Internet Computing, vol. 16, no. , pp. 64-68, July-Aug. 2012, doi:10.1109/MIC.2012.87
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