TY  - CHAP
EP  - 2471
PB  - ACM Press
T2  - Proceedings of ACM Symposium in Applied Computing (SAC ?10)
A1  - Bacciu, Davide
A1  - Buscemi, Maria Grazia
A1  - Mkrtchyan, Lusine
SP  - 2467
CY  - Sierre, Switzerland
TI  - Adaptive Fuzzy-valued Service Selection
ID  - eprints116
AV  - none
KW  - Service Selection
KW  -  Fuzzy Matchmaking
KW  -  QoS Monitoring
UR  - http://dx.doi.org/10.1145/1774088.1774598
SN  - 978-1-60558-639-7
Y1  - 2010///
N2  - 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.
ED  - Y. Shin, Sung
ED  - Ossowski, Sascha
ED  - Schumacher, Michael
ED  - J. Palakal, Mathew
ED  - Hung, Cheng
N1  - Categories and Subject Descriptors
I.5.1 [PATTERN RECOGNITION]: Models|Fuzzy Set
General Terms:
Design, Measurement, Performance
ER  -