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Design and performance evaluation of parallel algorithms for path expressions in object database systems on NOW

机译:NOW对象数据库系统中路径表达式并行算法的设计和性能评估

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In OODB, path expressions are usually used for navigating through complex objects and obtaining necessary information at the far end of a sequence of object references. The parallel forward pointer chasing algorithm (PFPC) and parallel backward pointer algorithm (PBPC) are natural algorithms for path expressions. If we change the implicit joins in the path expression into explicit joins, parallel join algorithms can also be employed for path expressions. In order to improve performance in a distributed environment, semi-join operations replace the join operations, which is called the parallel cascade semi-join algorithm (PCSJ). This paper mainly describes and compares PFPC and PCSJ algorithms implemented on DSVM; then analyzes the performance of algorithms from test results according to a certain benchmark. We can see PCSJ has much better performance than PFPC by the results. These parallel algorithms exploit pipelining and I/O communication parallelism; making full use of DSVM characteristics. Some valuable ideas are obtained from the theory analysis and practical testing.
机译:在OODB中,路径表达式通常用于在复杂对象中导航并在对象引用序列的远端获得必要的信息。并行前向指针追踪算法(PFPC)和并行后向指针算法(PBPC)是路径表达式的自然算法。如果我们将路径表达式中的隐式联接更改为显式联接,则也可以将并行联接算法用于路径表达式。为了提高分布式环境中的性能,半联接操作代替了联接操作,这称为并行级联半联接算法(PCSJ)。本文主要描述和比较了在DSVM上实现的PFPC和PCSJ算法。然后根据特定基准从测试结果中分析算法的性能。结果表明,PCSJ的性能比PFPC好得多。这些并行算法利用流水线和I / O通信并行性。充分利用DSVM的特性。从理论分析和实际测试中可以得到一些有价值的想法。

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