Teletraffic modeling of peer-to-peer traffic

The paper contributes to the development of a framework concerning the teletraffic modeling and analysis of peer-to-peer systems that are based on a mesh-pull architecture. We look at the packet transmission processes induced by a swarm of peers disseminating multimedia objects. We provide a survey on some statistical techniques that are used to characterize the observed hierarchical popularity structure of a peer population. Using collected flow data at a single peer, we show how Generalized Pareto and exponential models can be applied to classify the behavior of the feeding peers. Our approach is illustrated by real packet data of P2P sessions generated by BitTorrent clients in a mobile WiMAX testbed in Korea. The stated techniques can be used to cope with an efficiency adaptation of P2P dissemination protocols to mobile environments.

[1]  Goedele Dierckx,et al.  Change point analysis of extreme values , 2010 .

[2]  Mario Gerla,et al.  Will IPTV ride the peer-to-peer stream? [Peer-to-Peer Multimedia Streaming] , 2007, IEEE Communications Magazine.

[3]  Udo R. Krieger,et al.  Location-Aware Traffic Analysis of a Peer-to-Peer Streaming Application in a HSPA Network , 2013, 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

[4]  Yue Lu,et al.  Topology Dynamics in a P2PTV Network , 2009, Networking.

[5]  Arjun K. Gupta,et al.  Parametric Statistical Change Point Analysis , 2000 .

[6]  Udo R. Krieger,et al.  Analysis of Packet Transmission Processes in Peer-to-Peer Networks by Statistical Inference Methods , 2013, Data Traffic Monitoring and Analysis.

[7]  Udo R. Krieger,et al.  RapidStream: P2P streaming on android , 2012, 2012 19th International Packet Video Workshop (PV).

[8]  A. Hadi,et al.  Fitting the Generalized Pareto Distribution to Data , 1997 .

[9]  Simon Oechsner,et al.  The Impact of Caching on BitTorrent-Like Peer-to-Peer Systems , 2010, 2010 IEEE Tenth International Conference on Peer-to-Peer Computing (P2P).

[10]  Moshe Shaked,et al.  The observed total time on test and the observed excess wealth , 2004 .

[11]  W. R. Buckland,et al.  Distributions in Statistics: Continuous Multivariate Distributions , 1973 .

[12]  Jarmo Harju,et al.  Peer-to-Peer Streaming Technology Survey , 2008, Seventh International Conference on Networking (icn 2008).

[13]  Udo R. Krieger,et al.  Damming the Torrent: Adjusting BitTorrent-like Peer-to-Peer Networks to Mobile and Wireless Environments , 2011 .

[14]  Dierckx.  Trends and change points in the tail behaviour of a heavy tailed distribution , 2011 .

[15]  Udo R. Krieger,et al.  Atheris: A First Step Towards a Uni?ed Peer-to-Peer Traf?c Measurement Framework , 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.

[16]  Xiaofei Wang,et al.  Measurement and Analysis of BitTorrent Traffic in Mobile WiMAX Networks , 2010, 2010 IEEE Tenth International Conference on Peer-to-Peer Computing (P2P).

[17]  N. Markovich.  Nonparametric analysis of univariate heavy-tailed data , 2007 .

[18]  Udo R. Krieger,et al.  Statistical analysis and modeling of Skype VoIP flows , 2010, Comput. Commun..

[19]  U.R. Krieger,et al.  Analysis and quality assessment of peer-to-peer IPTV systems , 2008, 2008 IEEE International Symposium on Consumer Electronics.

[20]  Antonio Pescapè,et al.  Traffic analysis of peer-to-peer IPTV communities , 2009, Comput. Networks.

[21]  Ke Xu,et al.  A model approach to estimate Peer-to-Peer traffic matrices , 2011, 2011 Proceedings IEEE INFOCOM.

[22]  Shahzad Ali,et al.  Measurement of Commercial Peer-To-Peer Live Video Streaming , 2006 .

[23]  Udo R. Krieger,et al.  Integrated Measurement and Analysis of Peer-to-Peer Traffic , 2010, WWIC.

[24]  P. R. Fisk,et al.  Distributions in Statistics: Continuous Multivariate Distributions , 1971 .