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

Liyue Zhu*, Jian Yang, Han Hu, Hongsheng Xi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication3rd International Symposium on Intelligent Information Technology Application, IITA 2009
Pages579-584
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event3rd International Symposium on Intelligent Information Technology Application, IITA 2009 - NanChang, China
Duration: 21 Nov 200922 Nov 2009

Publication series

Name3rd International Symposium on Intelligent Information Technology Application, IITA 2009
Volume1

Conference

Conference3rd International Symposium on Intelligent Information Technology Application, IITA 2009
Country/TerritoryChina
CityNanChang
Period21/11/0922/11/09

Keywords

  • Service composition
  • Streaming media
  • User behavior

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