DocumentCode
3235742
Title
P2P streaming capacity: Survey and recent results
Author
Chen, Minghua ; Chiang, Mung ; Chou, Phil ; Li, Jin ; Liu, Shao ; Sengupta, Sudipta
Author_Institution
Chinese Univ. of Hong Kong, Hong Kong, China
fYear
2009
fDate
Sept. 30 2009-Oct. 2 2009
Firstpage
378
Lastpage
387
Abstract
Peer-to-peer (P2P) systems provide a scalable way to stream content to multiple receivers over the Internet and has become a major type of application traffic. The maximum rate achievable by all receivers is the capacity of a P2P streaming session. We provide a taxonomy of the problem formulations. In each formulation, computing P2P streaming capacity requires the computation of an optimal set of multicast trees, generally with an exponential complexity. We survey the family of constructive, polynomial-time algorithms that can compute P2P streaming capacity and the associated multicast trees, arbitrarily accurately for some of the formulations, and to some approximation factors in other formulations. Performance evaluation using large-scale Internet trace is provided before open problems in this research area are discussed.
Keywords
Internet; optimisation; peer-to-peer computing; polynomials; Internet multiple receivers; P2P streaming capacity; associated multicast trees; exponential complexity; optimal set computation; polynomial time algorithms; recent results survey; scalable way stream content; traffic application; Decoding; Encoding; Internet; Large-scale systems; Network coding; Peer to peer computing; Routing; Streaming media; Taxonomy; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4244-5870-7
Type
conf
DOI
10.1109/ALLERTON.2009.5394790
Filename
5394790
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