Anthony M. Middleton

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As a result of the continuing information explosion, many organizations now have the need to process and analyze massive volumes of data. These data-intensive computing requirements can be addressed by scalable systems based on hardware clusters of commodity servers coupled with system software to provide a distributed file storage system, job execution(More)
As a result of the continuing information explosion, many organizations now have the need to process and analyze massive volumes of data. These data-intensive computing requirements can be addressed by scalable systems based on hardware clusters of commodity servers coupled with system software to provide a distributed file storage system, job execution(More)
Executive Summary As a result of the continuing information explosion, many organizations are drowning in data and the resulting " data gap " or inability to process this information and use it effectively is increasing at an alarming rate. Data-intensive computing represents a new computing paradigm which can address the data gap using scalable parallel(More)
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