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Titlebook: Algorithms and Architectures for Parallel Processing; 14th International C Xian-he Sun,Wenyu Qu,Lei Liu Conference proceedings 2014 Springe

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樓主: 他剪短
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發(fā)表于 2025-3-23 12:20:57 | 只看該作者
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發(fā)表于 2025-3-23 19:35:56 | 只看該作者
https://doi.org/10.1007/978-3-540-78457-9ion results show that the proposed hybrid computation model not only achieves reliable MapReduce computation, reduces task response time and improves the performance of MapReduce, but also reduces the computation cost and achieves a greener computing mode.
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發(fā)表于 2025-3-23 23:40:33 | 只看該作者
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發(fā)表于 2025-3-24 11:30:32 | 只看該作者
https://doi.org/10.1007/978-3-540-71131-5w tasks. To this end, we have implemented HPSO in Hadoop-1.1.2. The experiment results have shown that the method can reduce the map tasks causing remote data delay, and improves the performance of Hadoop clusters.
18#
發(fā)表于 2025-3-24 16:18:18 | 只看該作者
https://doi.org/10.1007/978-3-322-82616-9 the program features, similarity values between samples are calculated to assess the similar degree. In this paper, we introduce a novel way of assessing the similarity of two program samples using Theory of Fuzzy. We firstly calculate the Euclidean Distance of two different program samples as the
19#
發(fā)表于 2025-3-24 20:02:47 | 只看該作者
,Beginn der Gesch?ftsführert?tigkeit,s in intermediate results) is processed; at last, a chain pattern sub-join is decomposed into several MapReduce jobs or single MapReduce job by dynamic programming to obtain an optimal scheme for the chain pattern sub-join. We conducted extensive experiments, and the results show that our method is
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發(fā)表于 2025-3-25 02:20:27 | 只看該作者
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