slides - Salsa Group - Indiana University
slides - Salsa Group - Indiana University
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.