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A Hybrid Fragmentation Approach for Distributed Deductive Database Systems

机译:分布式演绎数据库系统的混合碎片方法

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摘要

Fragmentation of base relations in distributed database management systems increases the level of concurrency and therefore system throughput for query processing. Algorithms for horizontal and vertical fragmentation of relations in relational, object-oriented and deductive databases exist; however, hybrid fragmentation techniques based on variable bindings appearing in user queries and query-access-rule dependency are lacking for deductive database systems. In this paper, we propose a hybrid fragmentation approach for distributed deductive database systems. Our approach first considers the horizontal partition of base relations according to the bindings imposed on user queries, and then generates vertical fragments of the horizontally partitioned relations and clusters rules using affinity of attributes and access frequency of queries and rules. The proposed fragmentation technique facilitates the design of distributed deductive database systems.
机译:分布式数据库管理系统中基本关系的碎片化提高了并发级别,从而提高了查询处理的系统吞吐量。存在用于关系数据库,面向对象数据库和演绎数据库中的关系的水平和垂直细分的算法。但是,推导数据库系统缺乏基于出现在用户查询和查询访问规则相关性中的变量绑定的混合分段技术。在本文中,我们提出了一种用于分布式演绎数据库系统的混合分段方法。我们的方法首先根据对用户查询施加的绑定来考虑基本关系的水平划分,然后使用属性的亲和力以及查询和规则的访问频率来生成水平划分的关系的垂直片段,并对规则进行聚类。所提出的分段技术有助于分布式演绎数据库系统的设计。

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