Parallel hierarchical evaluation of transitive closure queries

M. Houtsma, Filippo Cacace, S. Ceri
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引用次数: 19

Abstract

Presents a new approach to parallel computation of transitive closure queries using a semantic data fragmentation. Tuples of a large base relation denote edges in a graph, which models a transportation network. A fragmentation algorithm is proposed which produces a partitioning of the base relation into several fragments such that any fragment corresponds to a subgraph. One fragment, called high-speed fragment, collects all edges which guarantee maximum speed. Thus, the fragmentation algorithm induces a hierarchical relationship between the high-speed fragment and all other fragments. With this fragmentation, any query about paths connecting two nodes can be answered by using just the fragments in which nodes are located and the high-speed fragment. In general, if each fragment is managed by a distinguished processor, then the query can be answered by three processors working in parallel. This schema can be applied recursively to generate an arbitrary number of hierarchical levels.<>
传递闭包查询的并行分层求值
提出了一种利用语义数据碎片实现传递闭包查询并行计算的新方法。一个大基关系的元组表示图中的边,它模拟了一个运输网络。提出了一种将基本关系划分为若干片段的分割算法,使每个片段对应于一个子图。一个片段,称为高速片段,收集所有保证最大速度的边。因此,碎片算法在高速碎片和所有其他碎片之间建立了层次关系。有了这种碎片,任何关于连接两个节点的路径的查询都可以只用节点所在的碎片和高速碎片来回答。一般来说,如果每个片段由一个不同的处理器管理,那么查询可以由三个并行工作的处理器来回答。此模式可以递归地应用于生成任意数量的层次结构级别。
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