Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Discovering the best web service
Proceedings of the 16th international conference on World Wide Web
QoS-Aware Web Service Selection by a Synthetic Weight
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
A QoS Broker Based Architecture for Dynamic Web Service Selection
AMS '08 Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS)
A Web Service Selecting Model Based on Measurable QoS Attributes of Client-Side
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 02
A QoS Based Web Service Selection Model
IFITA '09 Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03
An Adaptive Web Services Selection Method Based on the QoS Prediction Mechanism
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A Mechanism for Web Service Selection and Recommendation Based on Multi-QoS Constraints
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
A QoS-aware Web Service Selection Method Based on Credibility Evaluation
HPCC '10 Proceedings of the 2010 IEEE 12th International Conference on High Performance Computing and Communications
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Quality of Service (QoS) assessment and prediction are an important issue in the development of distributed applications. The provision of web services with the same functionality gives rise to a need for implementation of more precise web service selection procedures. The paper introduces a new approach for web service selection that takes into account the web services' varying behavior defined by their constantly changing QoS properties as well as the ambiguous clients' QoS requirements. These uncertainties are formalized using respectively the probability theory and the theory of fuzzy sets. The feasibility of the approach is proved through a real scenario for web service selection.