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A new era is dawning where vast amount of data is subjected to intensive analysis in a cloud computing environment. Over the years, data about a myriad of things, ranging from user clicks to galaxies, have been accumulated, and continue to be collected, on storage media. The increasing availability of such data, along with the abundant supply of compute power and the urge to create useful knowledge,...
In this chapter, we present the Split&Merge architecture, that explores on demand computing paradigms to rationalize the use of resources. The architecture generalizes the Map-Reduce paradigm, combining it to a provisioning component that dynamically launches virtual machines in private clusters or in the Cloud, and provides an efficient solution that contemplates relevant aspects of intense processing...
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