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Partial-sum queries in OLAP data cubes using covering codes

Ho, Ching-Tien and Bruck, Jehoshua and Agrawal, Rakesh (1998) Partial-sum queries in OLAP data cubes using covering codes. IEEE Transactions on Computers, 47 (12). pp. 1326-1340. ISSN 0018-9340. doi:10.1109/12.737680.

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A partial-sum query obtains the summation over a set of specified cells of a data cube. We establish a connection between the covering problem in the theory of error-correcting codes and the partial-sum problem and use this connection to devise algorithms for the partial-sum problem with efficient space-time trade-offs. For example, using our algorithms, with 44 percent additional storage, the query response time can be improved by about 12 percent; by roughly doubling the storage requirement, the query response time can be improved by about 34 percent.

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Bruck, Jehoshua0000-0001-8474-0812
Additional Information:© Copyright 1998 IEEE. Reprinted with permission. Manuscript received 29 Sept. 1997. This research was supported in part by U.S. National Science Foundation Young Investigator Award CCR-9457811 and by the Sloan Research Fellowship.
Subject Keywords:Partial-sum query, covering code, error-correcting code, on-line analytical processing, data cube, multidimensional database, precomputation, query algorithm
Issue or Number:12
Record Number:CaltechAUTHORS:HOCieeetc98
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:5583
Deposited By: Archive Administrator
Deposited On:25 Oct 2006
Last Modified:08 Nov 2021 20:27

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