%P 2467-2471
%R acmid: 1774598
%T Adaptive Fuzzy-valued Service Selection
%C Sierre, Switzerland
%E Sung Y. Shin
%E Sascha Ossowski
%E Michael Schumacher
%E Mathew J. Palakal
%E Cheng Hung
%I ACM Press
%L eprints116
%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.
%K Service Selection, Fuzzy Matchmaking, QoS Monitoring
%D 2010
%A Davide Bacciu
%A Maria Grazia Buscemi
%A Lusine Mkrtchyan
%B Proceedings of ACM Symposium in Applied Computing (SAC ?10)
%O Categories and Subject Descriptors
I.5.1 [PATTERN RECOGNITION]: Models|Fuzzy Set
General Terms:
Design, Measurement, Performance