Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
Cultural Algorithms: Modeling of How Cultures Learn to Solve Problems
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
An approach to modeling Web service QoS and provision price
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
Verity: a QoS metric for selecting Web services and providers
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
A concept for QoS integration in web services
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
QoS-aware service composition in dynamic service oriented environments
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
QoS-aware service composition in dynamic service oriented environments
Middleware'09 Proceedings of the ACM/IFIP/USENIX 10th international conference on Middleware
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Web service composition is the process of integrating existing web services. It is a prospective method to build an application system. The current approaches, however, only take service function aspect into consideration. With the rapid growth of web service applications and the abundance of service providers, the consumer is facing the inevitability of selecting the "maximum satisfied" service providers due to the dynamic nature of web services. This requirement brings us some research challenges including web service quality model, the design of web service framework monitoring service real time quality. The further challenge is to find the algorithm which can handle customized service quality parameters and has good performance to solve NP-hard web services global selection problem. In this paper, we propose an adaptive web service framework using an extensible service quality model. Evolutionary algorithms are adopted to accelerate service global selection. We report on the comparison between Cultural Algorithms with Genetic Algorithms and random service selection.