数据分区：数据目录程序的实用并行评估

[1991] Proceedings of the First International Conference on Parallel and Distributed Information Systems Pub Date : 1991-12-01 DOI:10.1109/PDIS.1991.183073

Weining Zhang, Ke Wang, Siu-Cheung Chau

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引用次数: 7

摘要

作者分析了以前基于规则实例分区的并行评估策略。他们提出了一种基于数据分区的通用 Datalog 程序并行评估策略，这种策略更加实用。关键问题是确定一种数据传输标准，既能减少数据传输量，又能高效地进行测试。潜在有用性的概念就是这样一个标准。设计适当的分区方案和处理方案的问题也得到了解决。提出了在设计过程中做出决定的启发式方法和算法。

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Data partition: a practical parallel evaluation of datalog programs

The authors analyse previous parallel evaluation strategies based on the partition of rule instantiations. They present a parallel evaluation strategy for general Datalog programs that is based on the partition of data and is more practical. A key issue is to determine a criterion of data transmission that reduces the amount of data transmitted and is tested efficiently. A notion of potential usefulness is given as such a criterion. The problem of designing appropriate partition schemes and processing schemes is addressed. Heuristics and algorithms are proposed for making decisions in the design process.<>

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[1991] Proceedings of the First International Conference on Parallel and Distributed Information Systems

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