Clouds and MapReduce for Scientific Applications

Cloud computing is at the peak of the Gartner technology hype curve but there are good reasons to believe that as it matures that it will not disappear into their trough of disillusionment but rather move into the plateau of productivity as have for example service oriented architectures. Clouds are driven by large commercial markets where IDC estimates that clouds will represent 14% of IT expenditure in 2012 and there is rapidly growing interest from government and industry. There are several reasons why clouds should be important for large scale scientific computing.

Provided by: Indiana University Topic: Cloud Date Added: Apr 2010 Format: PDF

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