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- W1981840935 abstract "Efficient and reliable access to large-scale data sources and archiving destinations in a widely distributed computing environment brings new challenges. The insufficiency of the traditional systems and existing CPU-oriented batch schedulers in addressing these challenges has yielded a new emerging era: data-aware schedulers. In this article, we discuss the limitations of the traditional CPU-oriented batch schedulers in handling the challenging data management problem of large-scale distributed applications; give our vision for the new paradigm in data-intensive scheduling; and elaborate on our case study: the Stork data placement scheduler." @default.
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- W1981840935 date "2009-04-01" @default.
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- W1981840935 title "A new paradigm: Data-aware scheduling in grid computing" @default.
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- W1981840935 doi "https://doi.org/10.1016/j.future.2008.09.006" @default.
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