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.
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|
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