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A dependable multisource streaming system for peer-to-peer -based video on demand services provisioning

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Abstract

In this article, we present the design, implementation, and analysis of a scalable VOD (Video On Demand) distribution architecture for IP networks. The focus of our work is on the underlying multisource streaming architecture upon which the P2P (Peer-to-Peer) -based VOD services provisioning system relies. While multipoint-to-point multisource streaming is the core building block for a distributed VOD services provisioning system, it also introduces new reliability challenges as the streaming failure probability increases with the number of sources in a session. A major contribution of our work is the design of a suite of distinct yet complementary reliability/failover mechanisms that can be leveraged to improve the dependability of multisource streaming, and the viability of P2P-based VOD systems in general. Our work shows that the reliability/failover mechanisms can be arranged, combined, and alternated in advanced adaptation policies in order to deal with different conditions exhibited by the network. Another contribution of our work consists of implementing and assessing the performance of the different reliability mechanisms and adaptation policies in a real prototype system. We evaluate both the accuracy of streaming problems diagnosis, and the efficiency of the reliability mechanisms, in two adaptation strategies: one responsive to loss variation, and the other responsive to delay variation.

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Notes

  1. Note that the VidAs streaming system is fully compliant with the IETF standards for MPEG-4 Part 10 (resp., H.264) video fragmentation and streaming over IP networks [17]. It also complies with all ISMA (Internet Streaming Media Alliance) practices and recommendations for MPEG-4 video streaming over IP networks.

  2. In the following, Stream Guardian and Content Guardian are sometimes interchangeably used. The multi-source streaming intelligence is indeed implemented in a distributed/hierarchical with the Content Guardian overseeing all active sub-streams and coordinating possible failover actions, while the Stream Guardian is responsible of monitoring sub-streaming QoS performance and enforcing failover actions.

References

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Authors and Affiliations

  1. School of Computer Science & Informatics, University College Dublin, Dublin, Ireland

    Abdelhamid Nafaa, Baptiste Gourdin & Liam Murphy

Authors
  1. Abdelhamid Nafaa
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  2. Baptiste Gourdin
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  3. Liam Murphy
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Corresponding author

Correspondence to Abdelhamid Nafaa.

Additional information

This material is partially based upon works supported by the Science Foundation Ireland under Grant No 09/SIRG/I1560. The work was also partially supported by the Enterprise Ireland VidAs project, Technology Development Commercialisation Fund, CFTD/07/203—VIDAS.

Appendix

Appendix

Figures 28, 29 and 30 below illustrate the details of the processes of delay drift correction, streaming load balancing, and peer switching, respectively.

Fig. 28
figure 28

Streaming delay drift correction—step by step

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Fig. 29
figure 29

Contributing peers’ load balancing—step by step

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Fig. 30
figure 30

Contributing peers’ switching—signaling view

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Nafaa, A., Gourdin, B. & Murphy, L. A dependable multisource streaming system for peer-to-peer -based video on demand services provisioning. Multimed Tools Appl 59, 169–220 (2012). https://doi.org/10.1007/s11042-011-0755-8

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