Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Characterizing the query behavior in peer-to-peer file sharing systems
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Measurements, analysis, and modeling of BitTorrent-like systems
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Youtube traffic characterization: a view from the edge
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Traffic modeling and proportional partial caching for peer-to-peer systems
IEEE/ACM Transactions on Networking (TON)
Traffic analysis of a Web proxy caching hierarchy
IEEE Network: The Magazine of Global Internetworking
A longitudinal characterization of local and global bittorrent workload dynamics
PAM'12 Proceedings of the 13th international conference on Passive and Active Measurement
On the effects of caching in access aggregation networks
Proceedings of the second edition of the ICN workshop on Information-centric networking
Program popularity and viewer behaviour in a large TV-on-demand system
Proceedings of the 2012 ACM conference on Internet measurement conference
Centralized and distributed protocols for tracker-based dynamic swarm management
IEEE/ACM Transactions on Networking (TON)
Generating request streams on Big Data using clustered renewal processes
Performance Evaluation
A lightweight mechanism for detection of cache pollution attacks in Named Data Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Benchmarking Peer-to-Peer Systems
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The popularity of contents on the Internet is often said to follow a Zipf-like distribution. Different measurement studies showed, however, significantly different distributions depending on the measurement methodology they followed. We performed a large-scale measurement of the most popular peer-to-peer (P2P) content distribution system, BitTorrent, over eleven months. We collected data on a daily to weekly basis from 500 to 800 trackers, with information about 40 to 60 million peers that participated in the distribution of over 10 million torrents. Based on these measurements we show how fundamental characteristics of the observed distribution of content popularity change depending on the measurement methodology and the length of the observation interval. We show that while short-term or small-scale measurements can conclude that the popularity of contents exhibits a power-law tail, the tail is likely exponentially decreasing, especially over long time intervals.