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Sharing Cloud Computing Resources

Abstract : We address the issue of sharing the CPU and RAM resources of a cloud computing system. Specifically, we argue that these resources should be shared according to proportional fairness instead of dominant resource fairness. The latter has recently been proposed as a desirable scheduling objective mainly because of its strategy-proofness property. We show that proportional fairness, which satisfies a weaker form of strategy-proofness that we refer to as scale-invariance, yields a much better resource utilization and outperforms dominant resource fairness in the realistic setting where jobs arrive and leave at random times.
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Contributor : Thomas Bonald <>
Submitted on : Monday, April 28, 2014 - 2:14:02 PM
Last modification on : Monday, December 14, 2020 - 9:46:53 AM
Long-term archiving on: : Monday, July 28, 2014 - 11:35:58 AM


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  • HAL Id : hal-00984441, version 1


Thomas Bonald, James Roberts. Sharing Cloud Computing Resources. ALGOTEL 2014 -- 16èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, Jun 2014, Le Bois-Plage-en-Ré, France. pp.1-4. ⟨hal-00984441⟩



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