A fuzzy approach to cloud admission control for safe overbooking
2013 (English)In: 10th International Workshop on Fuzzy Logic and Applications (WILF), 2013, 212-225 p.Conference paper (Refereed)
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.
, Proceedings of the 10th International Workshop on Fuzzy Logic and Applications (WILF), ISSN 0302-9743 ; 8256
cloud computing, admission control, fuzzy logic programming, resource utilization, risk assessment
Computer Science Computer Systems
Research subject Computer Science
IdentifiersURN: urn:nbn:se:umu:diva-80400DOI: 10.1007/978-3-319-03200-9_22ISBN: 978-3-319-03199-6ISBN: 978-3-319-03200-9OAI: oai:DiVA.org:umu-80400DiVA: diva2:648800
10th International Workshop on Fuzzy Logic and Applications (WILF)