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- W2051211630 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." @default.
- W2051211630 created "2016-06-24" @default.
- W2051211630 creator A5079615374 @default.
- W2051211630 date "2007-03-11" @default.
- W2051211630 modified "2023-10-16" @default.
- W2051211630 title "Equivalent disk allocations" @default.
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- W2051211630 doi "https://doi.org/10.1145/1244002.1244118" @default.
- W2051211630 hasPublicationYear "2007" @default.
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