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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2005: Knowledge-Based Intelligent Information and Engineering Systems pp 476–482Cite as

Dynamic Integrated Model for Distributed Multimedia System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

Abstract

Multimedia information and communication network are two key elements of a distributed multimedia system. This paper researches distributed multimedia system from the points of view of both multimedia data and network channels. A dynamic model SCUDM for distributed multimedia system is proposed and a scheduling algorithm MCD is put forward. Simulation experiment shows that algorithm MCD has an advantage over algorithm EDF on the network utilization.

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Author information

Authors and Affiliations

  1. Beijing University of Aeronautics and Astronautics, 601 Box, Haidian District, Beijing, 100083, P.R. China

    Ya-Rong Hou & Zhang Xiong

Authors
  1. Ya-Rong Hou
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  2. Zhang Xiong
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Hou, YR., Xiong, Z. (2005). Dynamic Integrated Model for Distributed Multimedia System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_68

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  • DOI: https://doi.org/10.1007/11553939_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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