Measuring and Modeling the BitTorrent Content Distribution System
| Document type: | Journal Articles |
|---|---|
| Article type: | Original article |
| Peer reviewed: | Yes |
| Full text: | |
| Author(s): | David Erman, Dragos Ilie, Adrian Popescu |
| Title: | Measuring and Modeling the BitTorrent Content Distribution System |
| Journal: | Computer Communications |
| Year: | 2010 |
| Volume: | 33 |
| Issue: | Sp. Iss. SI Suppl. 1 |
| Pagination: | S22-S29 |
| ISSN: | 0140-3664 |
| Publisher: | Elsevier |
| URI/DOI: | 10.1016/j.comcom.2010.04.036 |
| ISI number: | 000283643400004 |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Computing (Sektionen för datavetenskap och kommunikation) School of Computing S-371 79 Karlskrona +46 455 38 50 00 http://www.bth.se/com |
| Authors e-mail: | david.erman@bth.se, dragos.ilie@gmail.com, adrian.popescu@bth.se |
| Language: | English |
| Abstract: | The paper reports on a detailed study of the BitTorrent content distribution system. We first present a measurement infrastructure designed to allow detailed, message-level capture and analysis of P2P traffic. An associated modeling methodology is presented as well. These tools have been used to measure and model the BitTorrent protocol, which is observed to exhibit exponential characteristics of session interarrival times. We also observe that session durations and sizes are modeled with a lognormal distribution. |
| Subject: | Computer Science\Networks and Communications Telecommunications\Modelling of Bursty Traffics |
| Keywords: | BitTorrent, traffic measurements, traffic modeling, traffic self-similarity |
