Title :
A Learning Automation Solution to the QoS-Aware Service Composition
Author :
Zhang, Xiwen ; Zhuo, Juchao ; Li, Jun ; Wu, Gang
Author_Institution :
Joint Lab. of Network Commun. Syst. & Control, Univ. of Sci. & Technol. of China Hefei, Hefei, China
Abstract :
The QoS properties of the provided services based on SOA play a significant role in service composition. However in the domain of multimedia service, making the provision of services QoS-aware is still a challenging work. In this paper we present a generic QoS model of service composition, as well as an algorithm to the QoS-aware service problem. The proposed algorithm is designed and implemented based on the concepts of learning automation. It has been rigorously tested and evaluated through extensive simulations. Our results show that the learning automation based approach is scalable and can effectively achieve service composition for QoS requirement satisfaction.
Keywords :
learning (artificial intelligence); multimedia communication; quality of service; QoS model; QoS requirement satisfaction; QoS-aware service composition; QoS-aware service problem; SOA; learning automation solution; multimedia service; service-oriented architecture; Algorithm design and analysis; Automatic control; Communication system control; Control systems; Feedback; Information systems; Learning automata; Multimedia systems; Service oriented architecture; Web services; QoS service composition; SOA; multimedia service;
Conference_Titel :
Web Information Systems and Mining, 2009. WISM 2009. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3817-4
DOI :
10.1109/WISM.2009.68
