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Equivalent Disk Allocations

机译:等效磁盘分配

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摘要

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 number-theoretic disk allocations are equivalent and provide the same additive error and threshold. Investigation of equivalent allocations simplifies schemes to find allocations with desirable properties. By keeping one of the equivalent disk allocations, we can reduce the complexity of searching for good disk allocations under various criteria such as additive error and threshold. Using proposed scheme, we were able to collect the most extensive experimental results on additive error and threshold in 2, 3, and 4 dimensions.
机译:群集技术通过在多个设备之间分配数据,通过并行I / O减少了查询响应时间。除少数情况外,不可能找到对所有空间范围查询都最佳的解聚方案。结果,大多数关于去簇的研究都集中在寻找具有最低的最坏情况加性误差的方案上。数论去簇技术提供了低加法误差和高阈值。在本文中,我们研究了等效的磁盘分配,并着重于数论解簇。大多数数论磁盘分配是等效的,并提供相同的加法误差和阈值。对等效分配的研究简化了查找具有所需属性的分配的方案。通过保留等效的磁盘分配之一,我们可以降低在各种标准(例如附加错误和阈值)下搜索良好磁盘分配的复杂性。使用提出的方案,我们能够在2、3和4维上收集关于加性误差和阈值的最广泛的实验结果。

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