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ABSTRACT
This paper presents a methodology for trading-off the cost of incomplete information against the data-related costs in the design of database systems. It investigates how the usage patterns of the database, defined by the characteristics of information requests presented to it, affect its conceptual design. The construction of minimum-cost answers to information requests for a variety of query types and cost structures is also studied. The resulting costs of incomplete database information are balanced against the data-related costs in the derivation of the optimal design.
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Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 7
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Michael Stonebraker , Paul M. Aoki , Witold Litwin , Avi Pfeffer , Adam Sah , Jeff Sidell , Carl Staelin , Andrew Yu, Mariposa: a wide-area distributed database system, The VLDB Journal — The International Journal on Very Large Data Bases, v.5 n.1, p.048-063, January 1996
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