2014/09/29 by Mark Scanlon, Scanlon, Mark, Huijie Shen +1
Computer Science · #Caching and Content Delivery #Computers and Society (cs.CY) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Networking and Internet Architecture (cs.NI) #Peer-to-Peer Network Technologies #cs.CY #cs.NI
paper · pdf · doi:10.48550/arxiv.1409.8171
The First International Workshop on Hot Topics in Big Data and Networking (HotData I)
arxiv created 2014/09/29 · openalex publication_date 2014/09/29 · arxiv updated 2014/09/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.