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Sensoria Bibliography Site Adaptive Fuzzy-valued Service Selection
Davide Bacciu, Maria Grazia Buscemi, Lusine Mkrtchyan
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.
