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)
Full text not available from this repository.Abstract
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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