PRIME: peer-to-peer receiver-driven mesh-based streaming
IEEE/ACM Transactions on Networking (TON)
GoalBit: the first free and open source peer-to-peer streaming network
Proceedings of the 5th International Latin American Networking Conference
Scalability and peer churning in IP-TV: an analytical insight
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Public and private BitTorrent communities: a measurement study
IPTPS'10 Proceedings of the 9th international conference on Peer-to-peer systems
Understanding overlay characteristics of a large-scale peer-to-peer IPTV system
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Modeling user behavior in P2P live video streaming systems through a Bayesian network
AIMS'10 Proceedings of the Mechanisms for autonomous management of networks and services, and 4th international conference on Autonomous infrastructure, management and security
Sampling bias in BitTorrent measurements
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Measurement and analysis of a large scale commercial mobile internet TV system
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
GoalBit: a free and open source peer-to-peer streaming network
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A Bayesian approach for user aware peer-to-peer video streaming systems
Image Communication
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Peer-to-Peer (P2P) technologies have found much success in applications like file distributions, and its adoption in live video streaming has recently attracted significant attentions. With the emerge of commercial P2P streaming systems that are orders of magnitude larger than the academic systems, understanding its basic principles and limitations are important in the design of future systems. Coolstreaming represented one of the earliest largescale live streaming trials in the Internet. In this paper, we discuss the fundamental components of the system. By leveraging the recent results obtained from live event broadcast, we develop some basis to demonstrate that a random partnership selection has the potentially to scale. Specific- cally, first, we examine the overlay topology. Second, using a combination of real traces and analysis, we present the highly skewed distribution of peer contribution; a small fraction of peers contribute most of the upload capacity. Third, we discuss the main limitations and the implications on the scalability.