%0 Book Section
%A Bacciu, Davide
%A Buscemi, Maria Grazia
%A Mkrtchyan, Lusine
%B Proceedings of ACM Symposium in Applied Computing (SAC ’10)
%C Sierre, Switzerland
%D 2010
%E Y. Shin, Sung
%E Ossowski, Sascha
%E Schumacher, Michael
%E J. Palakal, Mathew
%E Hung, Cheng
%F eprints:116
%I ACM Press
%K Service Selection, Fuzzy Matchmaking, QoS Monitoring
%P 2467-2471
%T Adaptive Fuzzy-valued Service Selection
%U http://eprints.imtlucca.it/116/
%X 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.
%Z Categories and Subject Descriptors  I.5.1 [PATTERN RECOGNITION]: Models|Fuzzy Set  General Terms:  Design, Measurement, Performance