@incollection{eprints116,
           pages = {2467--2471},
       publisher = {ACM Press},
       booktitle = {Proceedings of ACM Symposium in Applied Computing (SAC ?10)},
         address = {Sierre, Switzerland},
            note = {Categories and Subject Descriptors
I.5.1 [PATTERN RECOGNITION]: Models{\ensuremath{|}}Fuzzy Set
General Terms:
Design, Measurement, Performance},
          editor = {Sung Y. Shin and Sascha Ossowski and Michael Schumacher and Mathew J. Palakal and Cheng Hung},
           title = {Adaptive Fuzzy-valued Service Selection},
          author = {Davide Bacciu and Maria Grazia Buscemi and Lusine Mkrtchyan},
            year = {2010},
             url = {http://eprints.imtlucca.it/116/},
        keywords = {Service Selection, Fuzzy Matchmaking, QoS Monitoring},
        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.}
}