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

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

297

Lastpage

301

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Information Systems and Mining, 2009. WISM 2009. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3817-4

Type

conf

DOI

10.1109/WISM.2009.68

Filename

5368238