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A Novel Lightweight Middleware for Distributed Massive PMU Data Mining

机译:一种用于分布式大规模PMU数据挖掘的小型轻质中间件

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PMU data is facing with the problems of processing and application caused by the massive, distributed, multi-source, high redundancy existing in data. Therefore, this paper proposes a novel lightweight middleware to process and mine distributed massive PMU data. There employs light sampling parallel mining algorithm to deal with rules of data association, and proposes round robin algorithm to allocate computing tasks and data streams equally. Then the proposed middleware is applied in a multi-core computer. Test and comparison results from mining massive PMU data verify the feasibility and effectiveness of the proposed middleware technology in algorithm strategy and real-time requirement.
机译:PMU数据面临着由数据中存在的大规模,分布式,多源,高冗余引起的处理和应用问题。因此,本文提出了一种新颖的轻量级中间件来处理和矿山分布式大规模PMU数据。使用光采样并行挖掘算法来处理数据关联规则,并提出循环算法,以平均分配计算任务和数据流。然后在多核计算机中应用了所提出的中间件。采用矿业MPU数据的测试和比较结果验证了算法策略中所提出的中间件技术的可行性和有效性和实时要求。

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