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Heuristics for query optimization in distributed database systems.

机译:分布式数据库系统中查询优化的启发式方法。

摘要

The technology of distributed databases (DDB) is based on two other technologies which have developed a sufficiently solid foundation during the seventies: computer networks technology and database technology. One of the main difficulties in distributed database systems is to select an execution strategy that minimizes resource consumption. Some optimization strategies such as AHY (Apers-Hevner-Yao) Algorithms only focus on reducing the amount of transmissions. They assume that the cost to transmit the packets from one site to another site is the same. However, this is not true in the real world, since the cost of transmission is dependent on the network load situation. Therefore, it is possible to develop some heuristics which consider the network load as well. The objective of this thesis is to develop some heuristics which will take the network load into account and to compare the result with the AHY Algorithms. Source: Masters Abstracts International, Volume: 33-04, page: 1269. Advisers: Subir Bandyopadhyay; Joan Morrissey. Thesis (M.Sc.)--University of Windsor (Canada), 1994.
机译:分布式数据库技术(DDB)基于七十年代已发展出足够坚实基础的另外两项技术:计算机网络技术和数据库技术。分布式数据库系统中的主要困难之一是选择一种将资源消耗降至最低的执行策略。一些优化策略(例如AHY(Apers-Hevner-Yao)算法)仅专注于减少传输量。他们假设将数据包从一个站点传输到另一站点的成本是相同的。但是,在现实世界中情况并非如此,因为传输成本取决于网络负载情况。因此,有可能开发一些同时考虑网络负载的启发式方法。本文的目的是开发一些启发式算法,将网络负载考虑在内,并将结果与​​AHY算法进行比较。资料来源:国际硕士摘要,第33-04卷,第1269页。顾问:Subir Bandyopadhyay;琼·莫里西(Joan Morrissey)。论文(理学硕士)-温莎大学(加拿大),1994年。

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    Mak Hung Kai (George).;

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