CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Experimental Analysis of Bittorrent Traffic based on Heavy-Tailed Probability Distributions

by Aishwarya Gaikwad, Rupesh Jaiswal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 2
Year of Publication: 2016
Authors: Aishwarya Gaikwad, Rupesh Jaiswal
10.5120/ijca2016912268

Aishwarya Gaikwad, Rupesh Jaiswal . Experimental Analysis of Bittorrent Traffic based on Heavy-Tailed Probability Distributions. International Journal of Computer Applications. 155, 2 ( Dec 2016), 35-39. DOI=10.5120/ijca2016912268

@article{ 10.5120/ijca2016912268,
author = { Aishwarya Gaikwad, Rupesh Jaiswal },
title = { Experimental Analysis of Bittorrent Traffic based on Heavy-Tailed Probability Distributions },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 2 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number2/26580-2016912268/ },
doi = { 10.5120/ijca2016912268 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:01:18.726540+05:30
%A Aishwarya Gaikwad
%A Rupesh Jaiswal
%T Experimental Analysis of Bittorrent Traffic based on Heavy-Tailed Probability Distributions
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 2
%P 35-39
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Complexity involved in measuring and analyzing the BitTorrent traffic has led to various studies in this direction. Challenges involved are related to storage, data retrieval, location of content, topological features, privacy, copyright issues along with analysis of data and modeling of traffic. Internet Traffic, earlier thought to be of Poisson, is bursty in nature. In this paper, BitTorrent traffic for applications like video is observed by means of distributions, that best represent their nature. Inter-arrival times and lengths of packets are the parameters used to plot cdf so that the best distribution is determined. This analysis can further help in exploring various fractal characteristics[1], as the alpha value obtained is crucial in determining the heavy tailed-ness, responsible for impacting network performance and creating obstacles in maintaining the desired QoS.

References
  1. W.Gong, Y.Liu, V. Misra and D.Towsley. Self-Similarity and Long-range Dependence on the Internet: A Second look at the evidence, origins and Implications, Computer Networks, vol 48, No.3,pp. 377-399,2005.
  2. V.Jacobsen, C.Leres, and S.McCanne Tcpdump. http://www.tcpdump.org, August 2005.
  3. Steven McCanne and Van Jacobson. The BSD packet filter: A new architecture for user-level packet capture. In USENIX Winter, pages 259–270, 1993.
  4. M.Crovella and A.Bestavros. Self-Similarity in World Wide Web Traffic: Evidence and Possible Causes, IEEE/ACM Transactions on Networking, Vol. 5, No. 6, pp. 835-846, 1997.
  5. Vern Paxson and Sally Floyd. Wide-Area Traffic: The Failure of Poisson Modeling, IEEE/ACM Transactions on Networking, Vol. 3, No. 3, pp. 226-244, 1995.
  6. W. Willinger, M.S. Taqqu, R. Sherman and D.V. Wilson. Self-Similarity Through High-Variability: Statistical Analysis of Ethernet LAN Traffic at the Source Level, IEEE/ACM Transactions on Networking, Vol. 5, No. 1, pp. 71-86, 2002.
  7. W.E. Leland, M.S. Taqqu, W. Willinger and D.V. Wilson, “On the Self-Similar Nature of Ethernet Traffic (extended version), IEEE/ACM Transactions on Networking, Vol. 2, No. 1, pp. 1-15, 1994.
  8. R.Jaiswal, A.Bakre, A.Gutte. Performance Analysis of IPv4 and IPv6 Internet traffic, IJCT, pp.1208-15, 2015.
  9. D.Erman, D.Ilie, A.Popescu. Measuring And Modeling the BitTorrent contention distribution system from Computer Communications, ScienceDirect, pp. 22-29,2010.
  10. A.Legout, G.Urvoy-Keller, and P.Michiardi. Rarest first and choke algorithms are enough, in IMC ’06: Proceedings of the 6th ACM SIGCOMM on Internet measurement, New York, NY, USA, 2006, pp.203–216, ACM Press.
  11. Daniel Stutzbach and Reza Rejaie. Understanding Churn in Peer-to-Peer Networks, in IMC ’06: Proceedings of the 6th ACM SIGCOMM conference on Internet Measurement, New York, NY, USA, 2006, pp.189–202, ACM.
  12. J.Chandra, N.Ganguly.Optimizing Topology in BitTorrent Based Networks, Workshop on Network Science For Communication Networks,IEEE, pp.888-893.2011.
  13. L. Guo, S. Chen, Z. Xiao, E. Tan, X. Ding, X. Zhang,”Measurements, analysis, and modeling of BitTorrent-like” in Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement, 2005: 155-169.
  14. Adar, E., AND B.Huberman. Free riding on gnutella. Tech. rep. , Xerox PARC , August 2000.
  15. Mark E. Crovella and Murad S. Taqqu. Estimating the heavy tail index from scaling properties. Methodology and Computing in Applied Probability, Vol 1(No. 1), 1999.
  16. M. Izal, G. Urvoy-Keller, E.W. Biersack, P.A. Felber, A. Al Hamra, and L. Garc´es-Erice. “Dissecting BitTorrent: Five months in a torrent’s lifetime”. In PAM2004, 2004.
  17. Qiu D. and Srikant R.J. Modeling and performance analysis of bittorrentlike peer-to-peer networks. Technical report, University of Illinois at Urbana-Champaign, USA, 2004.
  18. Thomas Karagiannis, Andre Broido, Michalis Faloustos, and Claffy Kc. Transport layer identification of P2P traffic.IMC’04, 2004.
  19. C.Walck. Handbook for Statistical Distributions For the Experimentalists,Internal Report, Stockholm, 2007.
  20. D.Manini, R.Gaeta. Performance modeling Of P2P file, Workshop on Techniques for processing Complex Sysytems,IEEE,2005.
  21. R.Aristizabal. Estimating The Parameters of the three-parameter Log-Normal Distribution, FIU Digital Commons,2012
  22. D.Erman.2005. BitTorrent Traffic Measurements and Models, Dept .of Telecommunication, Master Thesis,Blekinge Institute of Technology.
  23. K.Park, G. Kim and M.Crovella. On the Relationship between File Sizes, Transport Protocols, and Self-Similar Network Traffic, Proceedings of the 4th International Conference on Network Protocols, pp. 171-180, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

P2P traffic BitTorrent log distributions Inter arrival time packet size pcap file

Powered by PhDFocusTM