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Issue No.04 - July-Aug. (2012 vol.16)
pp: 64-68
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.
Information analysis, Google, Cloud computing, Genomics, Computational modeling, DNA, distributed scheduling, eScience, scientific computing
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. 4, pp. 64-68, July-Aug. 2012, doi:10.1109/MIC.2012.87
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4. S. Melnik et al., "Dremel: Interactive Analysis of Web-Scale Datasets," Proc. Conf. Very Large Databases, VLDB Endowment, vol. 3, 2010, pp. 330–339.
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