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Adaptive Fuzzy-valued Service Selection

Bacciu, Davide and Buscemi, Maria Grazia and Mkrtchyan, Lusine Adaptive Fuzzy-valued Service Selection. In: Proceedings of ACM Symposium in Applied Computing (SAC ’10). ACM Press, Sierre, Switzerland, pp. 2467-2471. ISBN 978-1-60558-639-7 (2010)

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Service composition concerns both integration of heterogeneous distributed applications and dynamic selection of services. QoS-aware selection enables a service requester with certain QoS requirements to classify services according to their QoS guarantees. In this paper we present a method that allows for a fuzzy-valued description of QoS parameters. Fuzzy sets are suited to specify both the QoS preferences raised by a service requester such as 'response time must be as lower as possible and cannot be more that 1000ms' and approximate estimates a provider can make on the QoS capabilities of its services like 'availability is roughly between 95% and 99%'. We propose a matchmaking procedure based on a fuzzy-valued similarity measure that, given the specifications of QoS parameters of the requester and the providers, selects the most appropriate service among several functionally-equivalent ones. We also devise a method for dynamical update of service offers by means of runtime monitoring of the actual QoS performance.

Item Type: Book Section
Identification Number: acmid: 1774598
Additional Information: Categories and Subject Descriptors I.5.1 [PATTERN RECOGNITION]: Models|Fuzzy Set General Terms: Design, Measurement, Performance
Funders: Research partially supported by EU FET IST-FP6 16004 Integrated Project Sensoria.
Uncontrolled Keywords: Service Selection, Fuzzy Matchmaking, QoS Monitoring
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Users 29 not found.
Date Deposited: 01 Mar 2011 16:05
Last Modified: 11 Jul 2011 14:33
URI: http://eprints.imtlucca.it/id/eprint/116

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