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Design of a Decentralized Video-on-Demand System with Cooperative Clients in Multicast Environment

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Advances in Multimedia Information Processing – PCM 2007 (PCM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4810))

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Abstract

Peer-to-Peer (P2P) communications have become a popular alternative solution to provide large-scale video-on-demand (VoD) services. Recent approaches are designed for streaming applications in a unicast infrastructure. As the successful deployment of IP broadcast delivery, the system could have a further improvement when broadcasting scheme can be coupled with P2P paradigm. In this paper, we develop a possible solution for building a VoD system using existing broadcasting protocol coupled with cooperative clients in multicast environment. The objective of this work mainly focuses on addressing one design issue in such framework: reliability. An analytical model is developed to determine the minimum number of cooperative clients required for the system. The results showed that 60 peers, each of which has the availability of 0.4, are enough to leverage the workload of the central server up to 95%, when the startup delay of the system is 10 minutes.

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References

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Authors and Affiliations

  1. Department of Electronic and Information Engineering, The Hong Kong Polytechnic Uninversity, Hong Kong,  

    K. M. Ho & K. T. Lo

Authors
  1. K. M. Ho
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  2. K. T. Lo
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Editor information

Horace H.-S. Ip Oscar C. Au Howard Leung Ming-Ting Sun Wei-Ying Ma Shi-Min Hu

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© 2007 Springer-Verlag Berlin Heidelberg

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Ho, K.M., Lo, K.T. (2007). Design of a Decentralized Video-on-Demand System with Cooperative Clients in Multicast Environment. In: Ip, H.HS., Au, O.C., Leung, H., Sun, MT., Ma, WY., Hu, SM. (eds) Advances in Multimedia Information Processing – PCM 2007. PCM 2007. Lecture Notes in Computer Science, vol 4810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77255-2_45

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  • DOI: https://doi.org/10.1007/978-3-540-77255-2_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77254-5

  • Online ISBN: 978-3-540-77255-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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