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- W2011416912 abstract "Supporting high-performance data-intensive computing pipelines in wide-area networks is crucial for enabling large-scale distributed scientific applications that require minimizing end-to-end delay for single-input applications or maximizing frame rate for streaming applications. We formulate and categorize the data-intensive computing pipeline mapping problems into six classes with two optimization objectives, i.e. minimum end-to-end delay and maximum frame rate, and three network constraints, i.e. no, contiguous, and arbitrary node reuse. We design a dynamic programming-based optimal solution to the problem of minimum end-to-end delay with arbitrary node reuse and prove the NP-completeness of the rest five problems, for each of which, a heuristic algorithm based on a similar optimization procedure is proposed. These heuristics are implemented and tested on a large set of simulated pipelines and networks of various scales and their performance superiority is illustrated by extensive simulation results in comparison with existing methods." @default.
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- W2011416912 date "2011-02-01" @default.
- W2011416912 modified "2023-09-23" @default.
- W2011416912 title "Optimizing end-to-end performance of data-intensive computing pipelines in heterogeneous network environments" @default.
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- W2011416912 doi "https://doi.org/10.1016/j.jpdc.2010.08.003" @default.
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