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Measurement study on P2P streaming systems

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Abstract

Originally used as the default infrastructure for efficient file sharing, peer-to-peer (P2P) architecture achieved great successes. Now, the P2P model has been adopted for many other distributed applications, such as instant message and phone services, Internet gaming, and large-scale scientific computing. In recent years, P2P streaming systems experienced tremendous growth and became one of the largest bandwidth consumers on the Internet. Compared to standard file sharing systems, the streaming services show unique characteristics with more stringent time constraints and require much higher network bandwidth. It is extremely important to evaluate and analyze existing applications, and investigate the merits and weaknesses in these systems for future development.

In this paper, we conduct a comprehensive measurement study on two of the most popular P2P streaming systems, namely, PPLive and PPStream. They are very popular P2P streaming applications, and serving millions of registered users with hundreds of live TV channels and millions of other video clips. In our measurement, we deploy our collectors in China, and both live TV and video-on-demand (VoD) channels are evaluated. We record run-time network traffic on the client side, compare and analyze the characteristics of these channels based on their popularity. For both categories, we perceive that, in general, the two measured P2P streaming systems provide satisfactory experience to the audiences for all channels regardless of popularity. However, the most of data are downloaded from the dedicated servers for unpopular channels. We also observe that live TV channels show better peer coordination than VoD channels. Beside the traffic, we have also collected cache replacement information for VoD channels, and these measurement results can help us understand the caching mechanism of P2P streaming systems. With the support of the cache, VoD channels perform better than their counterparts in the live TV category in terms of data transmission, workload distribution, and signal traffic overhead. Overall, our results reveal that although P2P streaming systems can usually provide excellent viewing experience for popular channels, there are still challenges to fully support unpopular channels. New designs and algorithms are in urgent need, especially for unpopular live TV channels.

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References

  1. Miniwatts Marketing Group Internet World Stats, http://www.internetworldstats.com/stats.htm

  2. Napster, http://www.napster.com

  3. Edonkey, http://www.edonkey2000.net

  4. BitTorrent, http://www.bittorrent.com

  5. SETI@HOME, http://setiathome.ssl.berkeley.edu

  6. SkyPe, http://www.skype.com

  7. Youtube, http://www.youtube.com

  8. PPLive/PPTV, http://www.pptv.com

  9. Facebook, http://www.facebook.com

  10. Twitter, http://www.twitter.com

  11. Cisco Inc., Cisco visual networking index: forecast and methodology, 2009–2014

  12. Biskupski B, Schiely M, Felber P, Meier R (2008) Tree-based analysis of mesh overlays for Peer-to-Peer streaming. In: Meier R, Terzis S (eds) 8th IFIP international conference on distributed applications and interoperable systems (DAIS’08). Lecture notes in computer science, vol 5053. Springer, Berlin, pp 126–139

    Chapter  Google Scholar 

  13. Bradai A, Ahmed T (2012) On the optimal scheduling in pull-based real-time p2p streaming systems: layered and non-layered streaming. In: ICC, pp 1981–1985

    Google Scholar 

  14. Liu Y, Guo Y, Liang C (2008) A survey on peer-to-peer video streaming systems. In: Peer-to-peer networking and applications, vol 1, pp 18–28

    Google Scholar 

  15. Liu S-C, Chen TH (2010) Enabling adaptive live streaming in p2p multipath networks. J Supercomput 53(1):26–44

    Article  Google Scholar 

  16. Liu F, Li B, Zhong L, Li B, Jin H, Liao X (2012) Flash crowd in p2p live streaming systems: fundamental characteristics and design implications. IEEE Trans Parallel Distrib Syst 23(7):1227–1239

    Article  Google Scholar 

  17. PPStream, http://www.ppstream.com

  18. UUSee, http://www.uusee.com

  19. SopCast, http://www.sopcast.com

  20. iResearch, http://www.iresearch.com.cn/

  21. Hei X, Liang C, Liang J, Liu Y, Ross KW (2006) Insights into pplive: a measurement study of a large-scale p2p iptv system. In: Proceedings of IPTV workshop, international world wide web conference, Edinburgh, Scotland, May 2006

    Google Scholar 

  22. Vu L, Gupta I, Liang J, Nahrstedt K (2006) Mapping the pplive network: studying the impacts of media streaming on p2p overlays. Tech rep, Computer Science Department, University of Illinois at Urbana-Champaign, August 2006

  23. Liang W, Bi J, Wu R, Li Z, Li C (2009) On characterizing PPStream: measurement and analysis of P2P IPTV under large-scale broadcasting. In: GLOBECOM. IEEE, New York, pp 1–6

    Google Scholar 

  24. WireShark, http://www.wireshark.org

  25. Tcpdump, http://www.tcpdump.org

  26. GnuPlot, http://www.gnuplot.info

  27. APNIC, http://www.apnic.net/

  28. Breslau L, Cao P, Fan L, Phillips G, Shenker S (1999) Web caching and zipf-like distributions: evidence and implications. In: INFOCOM, pp 126–134

    Google Scholar 

  29. Saleh O, Hefeeda M (2006) Modeling and caching of peer-to-peer traffic. In: ICNP, pp 249–258

    Google Scholar 

  30. Ergu D, Kou G, Peng Y, Shi Y, Shi Y (2011) The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment. J Supercomput. doi:10.1007/s11227-011-0625-1

    MATH  Google Scholar 

  31. Hei X, Liang C, Liang J, Liu Y, Ross KW (2007) A measurement study of a large-scale p2p iptv system. IEEE Trans Multimed 9:1672–1687

    Article  Google Scholar 

  32. Ali S, Mathur A, Zhang H (2006) Measurement of commercial peer-to-peer live video streaming. In: Proceedings of ICST workshop on recent advances in peer-to-peer streaming, Weaterloo, Canada, August 2006

    Google Scholar 

  33. Liu Y, Guo L, Li F, Chen S (2009) A case study of traffic locality in Internet p2p live streaming systems. In: Proceedings of the IEEE international conference on distributed computing systems (ICDCS), Montreal, Quebec, Canada, June 2009, pp 423–432

    Google Scholar 

  34. Spoto S, Gaeta R, Grangetto M, Sereno M (2009) Analysis of pplive through active and passive measurements. In: Proceedings of the international parallel and distributed processing symposium (IPDPS), Rome, Italy, May 2009, pp 1–7

    Google Scholar 

  35. Zeadally S, Cerqueira E, Curado M, Leszczuk M (2010) Session level analysis of p2p television traces. In: Proceedings of third international workshop on future multimedia networking (FMN), Krakow, Poland, June 2010

    Chapter  Google Scholar 

  36. Gao P, Liu T, Chen Y, Wu X, El-khatib Y, Edwards C (2008) The measurement and modeling of a p2p streaming video service. In: The second international conference on networks for grid applications (GridNets), Beijing, China, October 2008

    Google Scholar 

  37. Silverston T, Jakab L, Cabellos-Aparicio A, Fourmaux O, Salamatian K, Cho K (2011) Large-scale measurement experiments of p2p-tv systems insights on fairness and locality. Signal Process Image Commun 26(7):327–338

    Article  Google Scholar 

  38. Seibert J, Zage D, Fahmy S, Nita-rotaru C, Experimental comparison of peer-to-peer streaming overlays: an application perspective. Tech rep, Purdue University

  39. PlanetLab: An open platform for developing, deploying and accessing planetary-scale services. http://www.planet-lab.org

  40. Pai V, Kumar K, Tamilmani K, Sambamurthy V, Mohr AE, Mohr EE (2005) Chainsaw: eliminating trees from overlay multicast. In: Proceedings of the 2nd international workshop on peer-to-peer systems (IPTPS), Ithaca, NY, Feburary 2005, pp 127–140

    Chapter  Google Scholar 

  41. Castro M, Druschel P, Kermarrec A-M, Nandi A, Rowstron A, Singh A (2003) SplitStream: high-bandwidth multicast in cooperative environments. In: Proceedings of the nineteenth ACM symposium on operating systems principles (SOSP), Bolton Landing, NY, October 2003, pp 298–313

    Chapter  Google Scholar 

  42. Mu M, Ishmael J, Knowles W, Rouncefield M, Race NJP, Stuart M, Wright G (2012) P2p-based iptv services: design, deployment, and qoe measurement. IEEE Trans Multimed 14(6):1515–1527

    Article  Google Scholar 

  43. Ethereal, http://www.ethereal.com

  44. Li B, Ma M, Jin Z, Zhao D (2012) Investigation of a large-scale p2p vod overlay network by measurements. Peer-to-Peer Networking Appl 5(4):398–411

    Article  Google Scholar 

  45. Ciullo D, Mellia M, Meo M, Leonardi E (2008) Understanding p2p-tv systems through real measurements. In: Proceedings of IEEE global communications conference (GLOBECOM), New Orleans, LA, November–December 2008, pp 2297–2302

    Google Scholar 

  46. Joost, http://www.joost.com

  47. Kermarrec AM, Merrer E, Liu Y, Simon G (2009) Surfing peer-to-peer iptv: distributed channel switching. In: Proceedings of the 15th international euro-par conference on parallel processing (Euro-par), Delft, The Netherlands, August 2009, pp 574–586

    Google Scholar 

Download references

Acknowledgements

This work is supported by National Natural Science Foundation of China under grants 61173170 and 60873225, National High Technology Research and Development Program of China under grant 2007AA01Z403, Innovation Fund of Huazhong University of Science and Technology under grants 2012TS052 and 2012TS053, science and technology research project of the education department of Hubei province under grant B2013205.

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Authors and Affiliations

  1. School of Media and Communication, Wuhan Textile University, Wuhan, China

    Guoqiang Gao

  2. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

    Ruixuan Li

  3. Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, USA

    Weijun Xiao

  4. Department of Math and Computer Science, Suffolk University, Boston, USA

    Zhiyong Xu

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  1. Guoqiang Gao
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  2. Ruixuan Li
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Correspondence to Guoqiang Gao.

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Gao, G., Li, R., Xiao, W. et al. Measurement study on P2P streaming systems. J Supercomput 66, 1656–1686 (2013). https://doi.org/10.1007/s11227-013-0959-y

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