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Equivalent disk allocations
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Source Symposium on Applied Computing archive
Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Database theory, technology, and applications table of contents
Pages: 500 - 505  
Year of Publication: 2007
ISBN:1-59593-480-4
Author
Ali Şaman Tosun  University of Texas at San Antonio, San Antonio, TX
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Declustering techniques reduce query response times through parallel I/O by distributing data among multiple devices. Except for a few cases it is not possible to find declustering schemes that are optimal for all spatial range queries. As a result of this, most of the research on declustering have focused on finding schemes with low worst case additive error. Number-theoretic declustering techniques provide low additive error and high threshold. In this paper, we investigate equivalent disk allocations and focus on number-theoretic declustering. Most of the disk allocations are equivalent and provide the same additive error and threshold. Investigation of equivalent allocations offer many advantages. By keeping one of the equivalent disk allocations, we can reduce the complexity of search for good disk allocations under various criteria such as additive error and threshold. Probabilistic approaches to finding good declustering schemes is feasible using equivalent allocations.


REFERENCES

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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Harold Shapiro. Introduction to the Theory of Numbers. John Wiley and Sons, 1983.
 
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Ali Şaman Tosun. Threshold based declustering in high dimensions. In DEXA 2005.
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