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A Classified P2P Overlay Scheme Using SVC for Video Streaming

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Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

In this paper we leverage the characteristics of Scalable Video Coding(SVC) and Peer-to-Peer(P2P) networks in order to present an efficient and adaptive mechanism. The proposed scheme integrate the P2P system and SVC together for video media streaming.Furthermore, considering the asymmetric links we classify the P2P system to different classes according to both download and uplink bandwidth. Peer belonging to different class receives base layer and different amount of enhancement layers to have a specified quality. Peers in each class are organized as a mesh-based network. And also we propose several video streaming transferring rules to reduce the link burden and improve utilization performance. Simulation result shows that the proposed scheme achieve low packet drop rates and delay specially for asymmetric links.

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Authors and Affiliations

  1. Information Science and Technology Division, Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055, China

    Gui Zhang & Chun Yuan

Authors
  1. Gui Zhang
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  2. Chun Yuan
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Editor information

Editors and Affiliations

  1. Naresuan University, 65000, Phisanulok, Thailand

    Paisarn Muneesawang

  2. Microsoft Research Asia, 100109, Beijing, China

    Feng Wu

  3. Tokyo Institute of Technology, 226-8503, Yokohama, Japan

    Itsuo Kumazawa

  4. Mahanakorn University of Technology, 10530, Bankok, Thailand

    Athikom Roeksabutr

  5. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Mark Liao

  6. Chinese University of Hong Kong, Shatin, N.T., Hong Kong,  

    Xiaoou Tang

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhang, G., Yuan, C. (2009). A Classified P2P Overlay Scheme Using SVC for Video Streaming. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_38

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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