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. http://resolver.caltech.edu/CaltechAUTHORS:HOCieeetc98
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Abstract
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.
| Item Type: | Article |
|---|---|
| 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 |
| Record Number: | CaltechAUTHORS:HOCieeetc98 |
| Persistent URL: | http://resolver.caltech.edu/CaltechAUTHORS:HOCieeetc98 |
| Alternative URL: | http://dx.doi.org/10.1109/12.737680 |
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
| ID Code: | 5583 |
| Collection: | CaltechAUTHORS |
| Deposited By: | Archive Administrator |
| Deposited On: | 25 Oct 2006 |
| Last Modified: | 26 Dec 2012 09:13 |
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