An Analysis of BitTorrent Cross-Swarm Peer Participation and Geolocational Distribution
Files in This Item:
|AnAnalysisOfBitTorrentCrossSwarmPeerParticipation.pdf||231.08 kB||Adobe PDF||Download|
|Title:||An Analysis of BitTorrent Cross-Swarm Peer Participation and Geolocational Distribution||Authors:||Scanlon, Mark
|Permanent link:||http://hdl.handle.net/10197/7680||Date:||7-Aug-2014||Abstract:||Peer-to-Peer (P2P) file-sharing is becoming increasingly popular in recent years. In 2012, it was reported that P2P traffic consumed over 5,374 petabytes per month, which accounted for approximately 20.5% of consumer internet traffic. TV is the popular content type on The Pirate Bay (the world's largest BitTorrent indexing website). In this paper, an analysis of the swarms of the most popular pirated TV shows is conducted. The purpose of this data gathering exercise is to enumerate the peer distribution at different geolocational levels, to measure the temporal trend of the swarm and to discover the amount of cross-swarm peer participation. Snapshots containing peer related information involved in the unauthorised distribution of this content were collected at a high frequency resulting in a more accurate landscape of the total involvement. The volume of data collected throughout the monitoring of the network exceeded 2 terabytes. The presented analysis and the results presented can aid in network usage prediction, bandwidth provisioning and future network design.||Type of material:||Conference Publication||Publisher:||IEEE||Start page:||1||End page:||6||Copyright (published version):||2014 IEEE||Keywords:||BitTorrent; Piracy; Swarm analysis||DOI:||10.1109/ICCCN.2014.6911846||Language:||en||Status of Item:||Peer reviewed||Conference Details:||The First International Workshop on Hot Topics in Big Data and Networking (HotData I) in conjunction with the 23rd IEEE International Conference on Computer Communications and Networks (ICCCN), Shanghai, China, 7 August 2014|
|Appears in Collections:||Computer Science Research Collection|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.