DocumentCode
3008698
Title
Magellan: Charting Large-Scale Peer-to-Peer Live Streaming Topologies
Author
Wu, Chuan ; Li, Baochun ; Zhao, Shuqiao
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON
fYear
2007
fDate
25-27 June 2007
Firstpage
62
Lastpage
62
Abstract
Live peer-to-peer (P2P) streaming applications have been successfully deployed in the Internet. With relatively simple peer selection protocol design, modern live P2P streaming applications are able to provide millions of concurrent users adequately satisfying viewing experiences. That said, few existing research has provided sufficient insights on the time-varying internal characteristics of P2P topologies in live streaming. With 120 GB worth of traces in late 2006 from a commercial P2P live streaming system of UUSee Inc. in Beijing, this paper represents the first attempt in the research community to explore topological properties in practical P2P streaming, and how they behave over time. Starting from classical graph metrics, such as degree, clustering coefficient, and reciprocity, we explore and extend them in specific perspectives of streaming applications. We also compare our findings with existing insights from topological studies of P2P file sharing applications, which shed new and unique insights specific to streaming. Our characterization reveals the scalability of the commercial P2P streaming application even in case of large flash crowds, the clustering phenomenon of peers in each ISP, as well as the reciprocal behavior among peers, all of which play important roles in achieving its current success.
Keywords
Internet; multimedia computing; peer-to-peer computing; protocols; telecommunication network topology; Internet; Magellan; file sharing; multimedia streaming; peer selection protocol; peer-to-peer live streaming topologies; Application software; Collaboration; Internet; Large-scale systems; Law; Peer to peer computing; Protocols; Scalability; Streaming media; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems, 2007. ICDCS '07. 27th International Conference on
Conference_Location
Toronto, ON
ISSN
1063-6927
Print_ISBN
0-7695-2837-3
Electronic_ISBN
1063-6927
Type
conf
DOI
10.1109/ICDCS.2007.118
Filename
4268215
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