BitTorrent Traffic Characteristics

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): David Erman, Dragos Ilie, Adrian Popescu
Title: BitTorrent Traffic Characteristics
Conference name: International Multi-Conference on Computing in the Global Information Technology
Year: 2006
Publisher: IEEE Computer Society Press
City: Bucharest
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Telecommunication Systems (*** Error ***)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: david.erman@bth.se, dragos.ilie@bth.se, adrian.popescu@bth.se
Language: English
Abstract: This paper reports on a measurement and modeling study of session and message characteristics of BitTorrent traffic. BitTorrent is a Peer-to-peer (P2P) replication and distribution system developed as an alternative to the classical client-server model to reduce the load on content servers and networks. Results are reported on measurement, modeling and analysis of application and link layer traces collected at the Blekinge Institute of Technology (BTH) and a local ISP in Sweden. Link layer traces and application logs were collected, modeled and analyzed using a dedicated measurement infrastructure developed at BTH to collect P2P traffic.

New results are reported on important session and message characteristics of BitTorrent, i.e., session interarrivals, sizes and durations, request rates and response times. Our results show that session interarrivals can be accurately modeled by a second-order hyper-exponential distribution while session durations and sizes can be reasonably well modeled by various mixtures of the Log-normal and Weibull distributions. Response times have been observed to be modeled by a dual Log-normal mixture, while request rates are modeled as dual Gaussian distributions.
Subject: Computer Science\Networks and Communications
Mathematics\Probability and Statistics
Telecommunications\General
Keywords: Internet traffic models, peer-to-peer traffic models
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