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An Adaptive Join Strategy in Distributed Data Stream Management System

机译:分布式数据流管理系统中的自适应联接策略

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As data stream springs up in various areas,distributed data stream management systems are being paid more and more attention.In DSMS,join is one of the most common but complicated operators,and the efficiency of continuous queries may be influenced by join directly.This paper mainly studies the join operation over data stream located on two different sites in WAN.Firstly,data model,query model and cost model are defined,and then a simple direct-join strategy and a semi-join strategy are proposed,which are respectively ideal under certain conditions but can't adapt to the variation of data stream.Finally,based on the analysis of the two strategies,an optimized adaptive join strategy is presented.The efficiency and flexibility of our strategy is proved by extensive experiments.
机译:随着数据流在各个领域的兴起,分布式数据流管理系统受到越来越多的关注。在DSMS中,join是最常见但最复杂的运算符之一,连续查询的效率可能会直接受到join的影响。本文主要研究位于广域网两个不同站点上的数据流的联接操作。首先定义数据模型,查询模型和成本模型,然后分别提出简单的直接联接策略和半联接策略。最后,在对这两种策略进行分析的基础上,提出了一种优化的自适应连接策略。通过大量实验证明了该策略的有效性和灵活性。

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