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Modeling analysis of server loading in large-scale P2P-VoD systems with actively collaborative helpers

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Abstract

Through moving a significant fraction of uploading from the servers to the peers, using P2P approach can effectively alleviate server loading in VoD deployments. However, users’ asynchronism dilutes their ability to assist each other. We develop a theoretical model to conduct an in-depth study of average server loading in large-scale P2P-VoD systems. This model captures many of the essential features of average server loading in large-scale P2P-VoD systems. Based on the in-depth study on average server loading, we introduce actively collaborative helpers into systems for alleviating server loading. The model of peers is further developed to a hybrid model for studying the optimal download amount of helpers from perspective of the entire network including peers and helpers. We show there exactly exists the sweet point of download amount of homogeneous helpers. With downloading the sweet amount, helpers can contribute the bandwidth around twice than they consume, when they do not assist each other, and even approximately 4 times when they assist each other.

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Acknowledgements

The authors would like to thank the reviewers for their insightful comments.

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Authors and Affiliations

  1. College of Information Systems and Management, National University of Defense Technology, Changsha, P.R. China

    Yubao Zhang, Hui Wang, Pei Li & Zhihong Jiang

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  1. Yubao Zhang
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  2. Hui Wang
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  3. Pei Li
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  4. Zhihong Jiang
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Corresponding author

Correspondence to Hui Wang.

Additional information

This research is supported by National Natural Science Foundation of China (60872053) and the National High Technology Research and Development Program of China (863 Program) under Grant No. 2008AA01Z407.

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Zhang, Y., Wang, H., Li, P. et al. Modeling analysis of server loading in large-scale P2P-VoD systems with actively collaborative helpers. Telecommun Syst 54, 215–227 (2013). https://doi.org/10.1007/s11235-013-9729-7

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