Dynamic SLA management with forecasting using multi-objective optimization

Antonescu, Alexandru-Florian; Robinson, Philip; Braun, Torsten (27 May 2013). Dynamic SLA management with forecasting using multi-objective optimization. In: De Turck, Filip; Diao, Yixin; Hong, Choong Seon; Medhi, Deep; Sadre, Ramin (eds.) Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013) (pp. 457-463). Ghent: IFIP

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Cost-efficient operation while satisfying performance and availability guarantees in Service Level Agreements (SLAs) is a challenge for Cloud Computing, as these are potentially conflicting objectives. We present a framework for SLA management based on multi-objective optimization. The framework features a forecasting model for determining the best virtual machine-to-host allocation given the need to minimize SLA violations, energy consumption and resource wasting. A comprehensive SLA management solution is proposed that uses event processing for monitoring and enables dynamic provisioning of virtual machines onto the physical infrastructure. We validated our implementation against serveral standard heuristics and were able to show that our approach is significantly better.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)

UniBE Contributor:

Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISBN:

978-1-4673-5229-1

Publisher:

IFIP

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

19 Mar 2014 11:28

Last Modified:

08 Aug 2017 07:38

Uncontrolled Keywords:

cloud computing; contracts; forecasting theory; operating systems (computers); optimisation; virtual machines; cloud computing; cost efficient operation; dynamic SLA management; energy consumption; multiobjective optimization forecasting; resource wasting; service level agreements; virtual machine-to-host allocation; Biological cells; Forecasting; Monitoring; Resource management; Servers; Sociology; Statistics

BORIS DOI:

10.7892/boris.44005

URI:

https://boris.unibe.ch/id/eprint/44005

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