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- W1607080707 abstract "Given n malleable and nonpreemptable parallel jobs that arrive for execution at time 0, we examine and compare two job scheduling strategies that allocate m identical processors among the n competing jobs. In all cases, n/spl les/m. The first strategy is based on the heuristic paradigm of equipartitioning, and the second is based on the notion of marginal analysis. Equipartitioning uses no a priori information when processor allocations are made to parallel jobs. Marginal analysis, on the other hand, assumes full a priori information in order to maximize processor utility. We compare both strategies with respect to average time-to-completion (system performance) and overall time-to-completion (system efficiency). Using a simple job model characterized by sequential time-to-completion and degree of parallelism, it is demonstrated via simulation that in most cases, the uninformed strategy of equipartitioning outperforms marginal analysis with respect to system performance and without a commensurate degradation in system efficiency." @default.
- W1607080707 created "2016-06-24" @default.
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- W1607080707 date "2004-03-02" @default.
- W1607080707 modified "2023-09-26" @default.
- W1607080707 title "Equipartitioning versus marginal analysis for parallel job scheduling" @default.
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- W1607080707 doi "https://doi.org/10.1109/pdcat.2003.1236410" @default.
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