Analysis of Mixed Strategies for P2P-TV Networks with Buffering Mechanism

Adamu Aminu*, Y. V. Gaidamaka**
*Senior Lecturer, Department of Mathematics and Computer Science, Umaru Musa Yar'adua University, Nigeria.
**Professor, Department of Applied Probability and Informatics, People's Friendship University of Russia, Moscow, Russia.
Periodicity:July - September'2018
DOI : https://doi.org/10.26634/jwcn.7.2.15609

Abstract

In this paper a problem of finding optimal buffer filling strategy in form of mixed strategy was considered for P2P-TV networks. In such networks, the popularly used strategies are the Rarest First (RF) and Greedy (Gr) strategies, however, studies have shown that RF strategy outperforms Gr strategy in terms of playback continuity and Gr strategy outperforms RF strategy in terms of startup delay, hence there is a need to find an optimal buffer filling strategy inform of mixed strategy with which viewers will experience better playback continuity with short startup delay. The idea of the mixed strategy is to divide the buffer with total of M buffer positions into two parts via demarcation point x, and apply one strategy to fill one part of the buffer and then the other strategy is applied to fill the other part of the buffer. For M = 40 buffer positions, an optimal demarcation point x* was found for each of the proposed mixed strategies. The results of the analysis have shown that mixed strategy where RF is firstly applied for buffer positions from m = 0,…,10, then Gr for m = 11,…,39 is the optimal strategy, with high probability of playback continuity and very low startup delay.

Keywords

Rarest First; Greedy; Strategy; Playback continuity; P2PTV networks

How to Cite this Article?

Aminu,A., and Gaidamaka,Y.V .(2018). Analysis of Mixed Strategies for P2P-TV Networks with Buffering Mechanism .i-manager's Journal on Wireless Communication Networks,7(2), 10-18. https://doi.org/10.26634/jwcn.7.2.15609

References

[1]. Adamu, A., Gaidamaka, Y., & Samuylov, A. (2011). Discrete Markov chain model for analyzing probability measures of P2P streaming network. In Smart Spaces and Next Generation Wired/Wireless Networking (pp. 428- 439). Springer, Berlin, Heidelberg.
[2]. Hei, X., Liang, C., Liang, J., Liu, Y., & Ross, K. W. (2007a). A measurement study of a large-scale P2P IPTV system. IEEE Transactions on Multimedia, 9(8), 1672- 1687.
[3]. Hei, X., Liu, Y., & Ross, K. W. (2007b). Inferring networkwide quality in P2P live streaming systems. IEEE Journal on Selected Areas in Communications, 25(9), 1640-1654.
[4]. Joost Homegape. (n.d). Retrieved from http://www.Joost.com
[5]. PPL ive Homepage. (n.d). Retrieved from http://www.pplive.com
[6]. PPStream Homepage. (n.d). Retrieved from http://www.pps.tv
[7]. Shen, X., Yu, H., Buford, J., & Akon, M. (Eds.). (2010). Handbook of peer-to-peer networking (Vol. 34). Springer Science & Business Media.
[8]. UUSee Homepage. (n.d). Retrieved from http://www.uusee.com
[9]. Zhou, Y., Chiu, D. M., & Lui, J. C. (2007, October). A simple model for analyzing P2P streaming protocols. In Network Protocols, 2007. ICNP 2007. IEEE International Conference on (pp. 226-235). IEEE..
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