Sector and Sphere: The Design and Implementation of a High Performance Data Cloud

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Executive Summary

Cloud computing has demonstrated that processing very large datasets over commodity clusters can be done simply given the right programming structure. Work to date, including Google's GFS/MapReduce and Hadoop, has been used to store and process very large datasets, especially from Web-related applications. In this paper, the authors present a new cloud computing software, which consists of the Sector storage cloud and the Sphere compute cloud. In contrast to existing data clouds, Sector supports not only data storage within a data center, but also data distribution across wide area networks. On the other hand, Sphere implements a stream processing paradigm to support data intensive applications.

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