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| Title: | Adaptive index structures |
| Authors: | Tao, Yufei
Papadias, Dimitris |
| Keywords: | Random accesses
Adaptive indexes
Query |
| Issue Date: | 2002 |
| Citation: | Very large data bases : proceedings, Hong Kong, 20-24 Aug. 2002, IEEE, New York, USA, 2002, p. 418-429 |
| Abstract: | Traditional indexes aim at optimizing the node accesses during query processing, which, however, does not necessarily minimize the total cost due to the possibly large number of random accesses. In this paper, we propose a general framework for adaptive indexes that improve overall query cost. The performance gain is achieved by allowing index nodes to contain a variable number of disk pages. Update algorithms dynamically re-structure adaptive indexes depending on the data and query characteristics. Extensive experiments show that adaptive B- and R-trees significantly outperform their conventional counterparts, while incurring minimal update overhead. |
| Rights: | © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| URI: | http://hdl.handle.net/1783.1/159 |
| Appears in Collections: | CSE Conference Papers
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| vldb02ais.pdf | pre-published version | 238Kb | Adobe PDF | View/Open |
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