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Operations research / Mathematical optimization / Game theory / Concurrent computing / Scheduling / Pareto efficiency / Max-min fairness / Apache Hadoop / Preemption / Scheduling algorithms / Computing / Routing algorithms


Choosy: Max-Min Fair Sharing for Datacenter Jobs with Constraints Ali Ghodsi Matei Zaharia Scott Shenker
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Document Date: 2014-12-31 23:51:31


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File Size: 2,99 MB

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Prague / /

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General Electric / Amazon / GPU / Oracle / Ericsson / Google / Facebook / Cisco / NetApp / Samsung / VMware / Yahoo! / Intel / Microsoft / CMMF / /

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data-intensive computing frameworks / Online CMMF / offline algorithm / software requirements / heterogeneous hardware / online setting / max-min fair solutions / greedy online algorithm / online decisions / offline solutions / parallel processing frameworks / offline solution / network flow algorithm / online algorithm / computing / typical systems / Web Services / /

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National Science Foundation / UC Berkeley / /

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Max-Min Fairness / Max-Min Fainess / Choosy / Ali Ghodsi Matei Zaharia Scott Shenker / Max-Min Fair Sharing / /

Position

Desirable Scheduler / restricted offline scheduler / periodic offline scheduler / simple online scheduler / hybrid scheduler / natural online scheduler for this problem / remarkably simple scheduler / offline scheduler / Mesos resource manager / Offline CMMF scheduler for divisible resources / Hadoop Fair Scheduler / scheduler / remarkably simple online scheduler / online scheduler / General / /

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online algorithm / RAM / PDF / offline algorithm / 5.1 Algorithm / load balancing / DNS / network flow algorithm / simulation / greedy online algorithm / offline CMMF algorithm / parallel processing / /

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