CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming
By Xinyan Zhang, Jiangchuan Liu, Bo Li, T. Yum. Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies., 2005
1,308 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/4728955b53d74084ac3ca7be6a2e80247526e0aa
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In Computer Networks and Communications
- Rodrigo Seromenho Miragaia Rodrigues
- Peter Druschel
- Yong Liu
- Keith W. Ross
- Bo Li
- Jiangchuan Liu
- Antony Ian Taylor Rowstron
- Hector Garcia-Molina
In Sociology and Political Science
Citations in the corpus
- Stochastic Fluid Theory for P2P Streaming Systems (2007, methodology): “P2P streaming architectures roughly fall into two categories: (i) multicast trees such as in end-system multicast [3]; (ii) and pull-driven P2P streaming such as CoolStreaming [ 18 ], PPLive [13] and PPStream [14].”
- Opportunities and Challenges of Peer-to-Peer Internet Video Broadcast (2008, methodology): “Group and Partner Management: Like ESM, CoolStreaming requires newly joining nodes to contact the origin server to obtain an initial set of partner candidates.”
- Peer-to-peer systems (2010, methodology): “Scientists, companies and open-software organizations use BitTorrent to distribute bulk data such as software updates, data sets and media files to many nodes [5]; commercial p2p software allows enterprises to distribute news and events to their employees and customers [29]; millions of people use S”
- A Measurement Study of a Large-Scale P2P IPTV System (2007, neutral): “To understand user behaviors across the entire PPLive network, we developed a crawler which continuously tracks all participating peers, where a peer is identified by a combination of IP address and TCP/UDP service port numbers.”