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Borg : the next generation

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Tirmazi_Borg.pdf (2.239Mb)
Date
15/04/2020
Author
Tirmazi, Muhammad
Barker, Adam
Deng, Nan
Haque, Md E.
Qin, Zhijing Gene
Hand, Steven
Harchol-Balter, Mor
Wilkes, John
Keywords
Data centers
Cloud computing
QA75 Electronic computers. Computer science
QA76 Computer software
3rd-DAS
BDC
R2C
~DC~
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Abstract
This 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.
Citation
Tirmazi , 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/10.1145/3342195.3387517
 
conference
 
Publication
Proceedings of the Fifteenth European Conference on Computer Systems (EuroSys '20)
DOI
https://doi.org/10.1145/3342195.3387517
Type
Conference item
Rights
Copyright © 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/10.1145/3342195.3387517
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/19996

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