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slides - Salsa Group - Indiana University

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Conclusions<br />

• Clouds offer attractive computing paradigms for<br />

loosely coupled scientific computation applications.<br />

• Infrastructure based models as well as the Map Reduce<br />

based frameworks offered good parallel efficiencies<br />

given sufficiently coarser grain task decompositions<br />

• The higher level MapReduce paradigm offered a<br />

simpler programming model<br />

• Selecting an instance type which suits your application<br />

can give significant time and monetary advantages.

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