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System software / Scheduling algorithms / Parallel computing / Operations research / Planning / Scheduling / Borg / Virtual machine / Cell / Computing / Concurrent computing / Computer architecture


Large-scale cluster management at Google with Borg Abhishek Verma† Luis Pedrosa‡ Madhukar Korupolu David Oppenheimer Eric Tune John Wilkes Google Inc. Abstract
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Document Date: 2015-05-08 14:51:37


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City

Paxos / Bordeaux / /

Company

David Oppenheimer Eric Tune John Wilkes Google Inc. / Google / /

Country

France / /

Facility

University of Southern California / Paxos store / Paxos-based store / /

IndustryTerm

internal infrastructure services / web server instance / online scheduling pass / web browsers / resource estimation algorithm / resource management / end-user-facing products / less diverse applications / command-line tool / hardware profiling infrastructure / real-time job monitoring / availability applications / distributed storage systems / web search / Large-scale cluster management / parallel using treeand torrent-like protocols / large scale systems / low-level tools / long-running services / web-based user interface / /

OperatingSystem

Unix / VMs / Linux / /

Organization

University of Southern California / /

Person

Abhishek Verma† Luis Pedrosa / Borg Abhishek Verma† Luis Pedrosa / Luis Pedrosa‡ Madhukar Korupolu / /

Position

system administrator / logically centralized controller / author was / author / cluster manager / link shard link shard link shard Scheduler scheduler / Paxos leader / application manager / representative / separate scheduler / scheduler / controller / link link shard link shard link shard Scheduler / /

Product

Fauxmaster / /

ProvinceOrState

Aurora / Southern California / /

Region

Southern California / /

Technology

RAM / Linux / Unix / resource estimation algorithm / scheduling algorithm / flow control / parallel using treeand torrent-like protocols / HTTP / caching / simulation / flash / web server / /

URL

http /

SocialTag