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A Self-Adaptive Performance-Aware Capacity Controller in Overbooked Datacenters
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)In: 2016 INTERNATIONAL CONFERENCE ON CLOUD AND AUTONOMIC COMPUTING (ICCAC) / [ed] Gupta, I; Diao, Y, Institute of Electrical and Electronics Engineers (IEEE), 2016, 12-23 p.Conference paper, Published paper (Refereed)
Abstract [en]

Interference between co-located VMs may lead to performance fluctuations and degradation, especially in overbooked datacenters. To limit this problem, VMs access to physical resources needs to be controlled to ensure certain degree of isolation among them. However, the mapping between virtual and physical resources must be performed in a dynamic way so that it can be adapted to the changing applications requirements, as well as to the different set of co-located VMs. To address this problem we propose a twofold approach: (1) a Quality of Service (QoS) scheme that provides different isolation levels for VMs with different QoS requirements, and (2) a self-adaptive fuzzy Q-learning capacity controller that proactively readjusts the isolation degree based on applications performance. Our evaluation based on real cloud applications and workloads demonstrates that the efficient, adaptive mapping between VMs and physical resources reduces the interference between VMs, enabling the possibility of co-locating more VMs, increases overall utilization, and ensures the performance of critical applications while providing more resources to the low QoS applications.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 12-23 p.
Keyword [en]
Cloud Computing, Fuzzy Q-Learning, Overbooking, Pinning, QoS, VM interference
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-124171DOI: 10.1109/ICCAC.2016.8ISI: 000390252000002ISBN: 978-1-5090-3536-6 (print)OAI: oai:DiVA.org:umu-124171DiVA: diva2:949821
Conference
IEEE International Conference on Cloud and Autonomic Computing (ICCAC), SEP 12-16, 2016, Augsburg, GERMANY
Available from: 2016-07-25 Created: 2016-07-25 Last updated: 2017-01-16Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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  • asciidoc
  • rtf