relation: http://eprints.imtlucca.it/116/
title: Adaptive Fuzzy-valued Service Selection
creator: Bacciu, Davide
creator: Buscemi, Maria Grazia
creator: Mkrtchyan, Lusine
subject: QA75 Electronic computers. Computer science
description: 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.
publisher: ACM Press
contributor: Y. Shin, Sung
contributor: Ossowski, Sascha
contributor: Schumacher, Michael
contributor: J. Palakal, Mathew
contributor: Hung, Cheng
date: 2010
type: Book Section
type: PeerReviewed
identifier:   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)  
relation: http://dx.doi.org/10.1145/1774088.1774598
relation: acmid: 1774598