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Adaptive, incentive and scalable dynamic tree overlay for P2P live video streaming

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Abstract

In this paper, we propose a new multicast tree framework to be used in peer-to-peer (P2P) live video streaming systems. The proposed system, adapts the tree links under high peer churn and runs in a totally distributed manner. In order to provide this dynamism and seamless streaming at the same time, we propose a cross layer design involving scalable video codec, backup parents and hierarchical clusters. The performance of the system is measured in real world environment PlanetLab that has nodes distributed all over the world. The experiments show that the proposed system provides high quality of experience (QoE) in terms of Peak Signal to Noise Ratio (PSNR), playback delay and duration of pauses. The proposed system also provides incentive mechanism to its users.

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Acknowledgements

The authors thank Prof. Dr. A. Murat Tekalp and Asst. Prof. Dr. Hasan Bulut for their remarks at the early stages of this work and the reviewers for their helpful comments.

Conflict of interests

We have no potential conflict of interest.

Author information

Authors and Affiliations

  1. International Computer Institute, Ege University, Izmir, Turkey

    Muge Sayit & Sercan Demirci

  2. Networking Research Laboratory, ECE Department New Jersey Institute of Technology, Newark, USA

    Yagiz Kaymak

  3. Department of Computer Engineering, Izmir University of Economics, Izmir, Turkey

    E. Turhan Tunali

Authors
  1. Muge Sayit
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  2. Sercan Demirci
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  3. Yagiz Kaymak
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  4. E. Turhan Tunali
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Corresponding authors

Correspondence to Muge Sayit or Sercan Demirci.

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Sayit, M., Demirci, S., Kaymak, Y. et al. Adaptive, incentive and scalable dynamic tree overlay for P2P live video streaming. Peer-to-Peer Netw. Appl. 9, 1074–1088 (2016). https://doi.org/10.1007/s12083-015-0390-7

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