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Issue No.04 - July-Aug. (2012 vol.16)
pp: 64-68
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. 4, pp. 64-68, July-Aug. 2012, doi:10.1109/MIC.2012.87
REFERENCES
1. The Fourth Paradigm: Data-Intensive Scientific Discovery, T. Hey, S. Tansley, and K. Tolle eds., Microsoft Research, 2009.
2. M. Schatz, B. Langmead, and S. Salzberg, "Cloud Computing and the DNA Data Race," Nature Biotechnology, vol. 28, no. 7, 2010, pp. 691–693.
3. M. Shirts and V. Pande, "Screen Savers of the World Unite!" Science, vol. 290, no. 5498, 2000, p.1903.
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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