Borg : the next generation
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 269185353
- Type
- E - Conference contribution
- DOI
-
10.1145/3342195.3387517
- Title of conference / published proceedings
- Proceedings of the Fifteenth European Conference on Computer Systems (EuroSys '20)
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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7
- Research group(s)
-
B - Systems
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper analyses a newly published data centre trace that covers 8 different Google Borg clusters. The analysis highlights how Google’s workload has evolved, provides a longitudinal comparison and a discussion of Borg’s functionality, which facilitates general purpose clusters. The paper complements the release of the largest and most complete data centre trace, which enables researchers to explore how scheduling works in large-scale production compute clusters.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
