User demand behavior based adaptive algorithm for service composition of streaming media

Authors:
Liyue Zhu;Jian Yang;Han Hu;Hongsheng Xi
Affiliations:
Key Lab of Network Communication System and Control, Chinese Academy of Sciences, Key Lab of Anhui Network Communication System and Control, Department of Automation, Univ. of Sci. and Tech. of Ch ...;Key Lab of Network Communication System and Control, Chinese Academy of Sciences, Key Lab of Anhui Network Communication System and Control, Department of Automation, Univ. of Sci. and Tech. of Ch ...;Key Lab of Network Communication System and Control, Chinese Academy of Sciences, Key Lab of Anhui Network Communication System and Control, Department of Automation, Univ. of Sci. and Tech. of Ch ...;Key Lab of Network Communication System and Control, Chinese Academy of Sciences, Key Lab of Anhui Network Communication System and Control, Department of Automation, Univ. of Sci. and Tech. of Ch ...
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Service composition is a technique to recompose various heterogeneous network services for a new business. A modern streaming media system may run multiple businesses. Their resources can easily be improperly distributed and under utilized. This paper studies service composition in the context of streaming media applications. A three-layer model is adopted to describe the system. The optimal service composition is formulated as a constraint optimization problem. By applying linear programming to the proposed cost function, a user demand behavior based adaptive algorithm (UDBA) for service composition is presented. The simulation results show that our UDBA algorithm improves the performance of the streaming media system.