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The widespread appeal of MapReduce is due, in part, to its simple programming model. Programmers provide only application logic while the MapReduce framework handles the logistics of data distribution and parallel task management. The authors present the Continuous-MapReduce (C-MR) framework which implements a modified MapReduce processing model to continuously execute workflows of MapReduce jobs on unbounded data streams. In keeping with the philosophy of MapReduce, C-MR abstracts away the complexities of parallel stream processing and workflow scheduling while providing the simple and familiar MapReduce programming interface with the addition of stream window semantics.
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