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Auto-scaling of Containers: The Impact of Relative and Absolute Metrics
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Cloud, Networking and Security)ORCID iD: 0000-0002-3118-5058
Spindox S.p.A, ITA.
2017 (English)In: 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 / [ed] IEEE, IEEE, 2017, p. 207-214, article id 8064125Conference paper, Published paper (Refereed)
Abstract [en]

Today, The cloud industry is adopting the container technology both for internal usage and as commercial offering. The use of containers as base technology for large-scale systems opens many challenges in the area of resource management at run-time. This paper addresses the problem of selecting the more appropriate performance metrics to activate auto-scaling actions. Specifically, we investigate the use of relative and absolute metrics. Results demonstrate that, for CPU intense workload, the use of absolute metrics enables more accurate scaling decisions. We propose and evaluate the performance of a new autoscaling algorithm that could reduce the response time of a factor between 0.66 and 0.5 compared to the actual Kubernetes' horizontal auto-scaling algorithm.

Place, publisher, year, edition, pages
IEEE, 2017. p. 207-214, article id 8064125
Keywords [en]
Containers, Measurement, Time factors, Correlation, Probability density function, Resource management, Benchmark testing
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-15623DOI: 10.1109/FAS-W.2017.149ISI: 000426936100038ISBN: 978-1-5090-6558-5 (electronic)ISBN: 978-1-5090-6559-2 (print)OAI: oai:DiVA.org:bth-15623DiVA, id: diva2:1164121
Conference
2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W, Tucson
Projects
Scalable resource-efficient systems for big data analytics - BigData@BTH
Funder
Knowledge Foundation, 20140032Available from: 2017-12-10 Created: 2017-12-10 Last updated: 2018-04-04Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf