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Hash-based and index-based join algorithms for cube and ring connected multicomputers

机译:多维数据集和环形连接的多计算机的基于哈希和基于索引的联接算法

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The authors compare the performance of two join algorithms on both cube and ring interconnections for message-based multicomputers, and investigate the effects that the number of processors and the type of interconnection scheme have on the performance. First, the parallel hybrid-hash join algorithm and the parallel join-index join algorithm for both the cube and ring connected multicomputers are presented. The performance of these algorithms is then compared through analytical cost modeling. The result shows that the join-index join algorithm gives good performance only when the join selectivity is very small, and the hybrid-hash join algorithm performs consistently well under most situations. It is shown that the cube topology yields better execution time than the same algorithm on the ring topology. Furthermore, increasing the number of processors has a more significant improvement on the execution time of the cube than for the ring configuration. The applicability of join indexes on the parallel database algorithms is also discussed.
机译:作者比较了两种联接算法在基于消息的多计算机的多维数据集和环形互连上的性能,并研究了处理器数量和互连方案类型对性能的影响。首先,提出了用于立方体和环形连接多计算机的并行混合哈希联接算法和并行联接索引联接算法。然后通过分析成本建模比较这些算法的性能。结果表明,仅在连接选择性很小的情况下,join-index连接算法才具有良好的性能,并且在大多数情况下,hash哈希连接算法始终表现良好。结果表明,与环形拓扑上的相同算法相比,多维数据集拓扑产生的执行时间更长。此外,与环形配置相比,增加处理器数量对多维数据集的执行时间具有更大的改善。还讨论了连接索引在并行数据库算法中的适用性。

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