umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Self-Adaptive Capacity Controller: A Reinforcement Learning Approach
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)In: 2016 IEEE International Conference on Autonomic Computing (ICAC), IEEE, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Interference between co-located VMs may lead to performance fluctuations and degradation. To limit this problem, VMs access to physical resources needs to be controlled to ensure certain degree of isolation among them. This mapping between virtual and physical resources must be performed in a dynamic way so that it can be adaptive to the changing applications requirements, as well as to the different set of co-located VMs. To address this problem we propose a self-adaptive fuzzy Q-learning capacity controller that proactively readjusts the isolation degree based on applications performance. Our evaluation demonstrates a reduction into VMs interference and an increment on the overall utilization, while still ensuring critical applications performance, and providing more resources to non-critical applications.

Place, publisher, year, edition, pages
IEEE, 2016.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-124170DOI: 10.1109/ICAC.2016.51ISBN: 978-1-5090-1654-9 (electronic)OAI: oai:DiVA.org:umu-124170DiVA, id: diva2:949817
Conference
ICAC 2016: 13th IEEE International Conference on Autonomic Computing, Wuerzburg,
Available from: 2016-07-25 Created: 2016-07-25 Last updated: 2019-06-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Tomas, Luis

Search in DiVA

By author/editor
Tomas, Luis
By organisation
Department of Computing Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 77 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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