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A fuzzy approach to cloud admission control for safe overbooking
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. University of Castilla-La Mancha.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
University of Castilla-La Mancha.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)In: 10th International Workshop on Fuzzy Logic and Applications (WILF), 2013, 212-225 p.Conference paper, Published paper (Refereed)
Abstract [en]

Cloud computing enables elasticity - rapid provisioning and deprovisioning of computational resources.Elasticity allows cloud users to quickly adapt resource allocation to meet changes in their workloads.For cloud providers, elasticity complicates capacity management as the amount ofresources that can be requested by users is unknown and can vary significantly over time. Overbooking techniques allowproviders to increase utilization of their data centers. For safe overbooking, cloud providersneed admission control mechanisms to handle the tradeoff between increasedutilization (and revenue), and risk of exhausting resources, potentially resulting in penalty fees and/or lost customers.We propose a flexible approach (implemented with fuzzy logic programming) to admission control and the associated risk estimation.Our measures exploit different fuzzy logic operators in order to model optimistic, realistic, and pessimistic behaviour under uncertainty.An experimental evaluation confirm that our fuzzy admission control approach can significantly increaseresource utilization while minimizing the risk of exceeding the total available capacity.

Place, publisher, year, edition, pages
2013. 212-225 p.
Series
Proceedings of the 10th International Workshop on Fuzzy Logic and Applications (WILF), ISSN 0302-9743 ; 8256
Keyword [en]
cloud computing, admission control, fuzzy logic programming, resource utilization, risk assessment
National Category
Computer Science Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-80400DOI: 10.1007/978-3-319-03200-9_22ISBN: 978-3-319-03199-6 (print)ISBN: 978-3-319-03200-9 (print)OAI: oai:DiVA.org:umu-80400DiVA: diva2:648800
Conference
10th International Workshop on Fuzzy Logic and Applications (WILF)
Available from: 2013-09-17 Created: 2013-09-17 Last updated: 2015-10-27Bibliographically approved

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Vázquez, CarlosTomas, LuisTordsson, Johan
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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Language
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Output format
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