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Investigating Storage Layouts to Improve Parallelism in Interactive Brute-Force Search

Overview As the storage and processing of data becomes less expensive, huge amounts of new data is being generated by government agencies, research labs and other organizations. It is becoming increasingly important to be able to store and search this data efficiently. This paper investigates different storage layout approaches and their effect on the efficiency of data retrieval and storage in Diamond, an interactive search system. Diamond implements the concept of early discard to interactively search terabytes of unindexed data including such as images, videos, etc.

Further White Paper Details
Publisher	Carnegie Mellon University	File Format	PDF
Date Published	December 2006
Format	White Papers
Topics	Removable Storage, Storage Management, Hard Drives

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