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• W1489274041 abstract "In emerging data stream applications, data sources are typically distributed. Evaluating multi-join queries over streams from different sources may incur large communication cost. As queries run continuously, the precious bandwidths would be aggressively consumed without careful optimization of operator ordering and placement. In this paper, we focus on the optimization of continuous multi-join queries over distributed streams. We observe that by partitioning streams into substreams we can significantly reduce the communication cost and hence propose a novel partition-based join scheme – PMJoin. A few partitioning techniques are studied. To generate the query plan for each substream, a heuristic algorithm is proposed based on a rate-based model. Results from an extensive experimental study show that our techniques can sufficiently reduce the communication cost." @default.
• W1489274041 created "2016-06-24" @default.
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• W1489274041 date "2006-01-01" @default.
• W1489274041 modified "2023-10-16" @default.
• W1489274041 title "PMJoin: Optimizing Distributed Multi-way Stream Joins by Stream Partitioning" @default.
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• W1489274041 doi "https://doi.org/10.1007/11733836_24" @default.
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