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- W2032113313 abstract "We describe the use of non-dedicated clusters by a known group of local applications sharing the computational resources with additional bioinformatics MapReduce applications. We have studied how to effectively use the resources shared by both application types during their execution. In order to keep local application execution times unaffected we consider the configuration of a group of parameters of the Hadoop platform. One of the most relevant aspects to consider is the job scheduling policy. Our aim is to allow that tasks from different jobs that handle the same data blocks are grouped to be run on the same node where the blocks are allocated. Experimental results show that our approach outperforms traditional policies." @default.
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- W2032113313 date "2013-09-15" @default.
- W2032113313 modified "2023-09-23" @default.
- W2032113313 title "Job scheduling for optimizing data locality in Hadoop clusters" @default.
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- W2032113313 doi "https://doi.org/10.1145/2488551.2488591" @default.
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