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Quincy: fair scheduling for distributed computing clusters

SOSP, pp.261-276, (2009)

Cited by: 1038|Views186
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Abstract

This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations close to their data is crucial for performance, is increasingly common and arises in systems such as MapReduce, Hadoop, and Dryad as well as many grid-computing ...More

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