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Storage management is a well-known method for improving the efficiency of data intensive and networked applications. Today's data management systems handle many non-traditional data formats, ranging from spatial data to images, video and other hybrid representations. This requires the use of specialized methods to query, extract and transform data from multiple, possibly distributed sources. There is a great need to develop efficient and scalable methodologies for storing and reusing the results of computations in such applications. This paper introduces a configurable storage management system that allows programmers to specify a collection of storage management protocols for managing different types of data requests on top of a shared and possibly distributed pool of resources.
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