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dc.contributor.authorTirmazi, Muhammad
dc.contributor.authorBarker, Adam
dc.contributor.authorDeng, Nan
dc.contributor.authorHaque, Md E.
dc.contributor.authorQin, Zhijing Gene
dc.contributor.authorHand, Steven
dc.contributor.authorHarchol-Balter, Mor
dc.contributor.authorWilkes, John
dc.date.accessioned2020-05-26T15:30:05Z
dc.date.available2020-05-26T15:30:05Z
dc.date.issued2020-04-15
dc.identifier.citationTirmazi , M , Barker , A , Deng , N , Haque , M E , Qin , Z G , Hand , S , Harchol-Balter , M & Wilkes , J 2020 , Borg : the next generation . in Proceedings of the Fifteenth European Conference on Computer Systems (EuroSys '20) . , 30 , Association for Computing Machinery, Inc , New York , pp. 1-14 , Fifteenth European Conference on Computer Systems (EuroSys ’20) , Heraklion , Greece , 27/04/20 . https://doi.org/10.1145/3342195.3387517en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450368827
dc.identifier.otherPURE: 268029170
dc.identifier.otherPURE UUID: 6ccd0ffe-ea20-44e7-a9dd-2090101148f6
dc.identifier.otherBibtex: 10.1145/3342195.3387517
dc.identifier.otherScopus: 85087107844
dc.identifier.otherWOS: 000626725600003
dc.identifier.urihttp://hdl.handle.net/10023/19996
dc.description.abstractThis paper analyzes a newly-published trace that covers 8 different Borg [35] clusters for the month of May 2019. The trace enables researchers to explore how scheduling works in large-scale production compute clusters. We highlight how Borg has evolved and perform a longitudinal comparison of the newly-published 2019 trace against the 2011 trace, which has been highly cited within the research community. Our findings show that Borg features such as alloc sets are used for resource-heavy workloads; automatic vertical scaling is effective; job-dependencies account for much of the high failure rates reported by prior studies; the workload arrival rate has increased, as has the use of resource over-commitment; the workload mix has changed, jobs have migrated from the free tier into the best-effort batch tier; the workload exhibits an extremely heavy-tailed distribution where the top 1% of jobs consume over 99% of resources; and there is a great deal of variation between different clusters.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery, Inc
dc.relation.ispartofProceedings of the Fifteenth European Conference on Computer Systems (EuroSys '20)en
dc.rightsCopyright © 2020 Owner/Author. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the final published version of the work, which was originally published at https://doi.org/10.1145/3342195.3387517en
dc.subjectData centersen
dc.subjectCloud computingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.subject3rd-DASen
dc.subjectBDCen
dc.subjectR2Cen
dc.subject~DC~en
dc.subject.lccQA75en
dc.subject.lccQA76en
dc.titleBorg : the next generationen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/3342195.3387517


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