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Multi-Way Windowed Streams θ-Joins Using Cluster
2016
International Journal of Grid and Distributed Computing
Recent years have witnessed an increasing interesting in data stream processing, such as network monitoring, the e-business, advertising system and etc. Join is applied to explore the correlation among the tuples from multiple streams. In this paper, we present a general method named Distributed Streams Join (DSJ) to process multi-way windowed streams θ-joins using a shared-nothing cluster. DSJ contains a distribution method named Time-Slice Distribution Method (TDM) and a join method named
doi:10.14257/ijgdc.2016.9.2.10
fatcat:3v3s3udyenccnm7jd7yza6frhy