NDLI: Peer-to-Peer Live Multicast: A Video Perspective

Content Provider	IEEE Xplore Digital Library
Author	Setton, E. Baccichet, P. Girod, B.
Copyright Year	1963
Abstract	Peer-to-peer multicast is promising for large-scale streaming video distribution over the Internet. Viewers contribute their resources to a peer-to-peer overlay network to act as relays for the media streams, and no dedicated infrastructure is required. As packets are transmitted over long, unreliable multipeer transmission paths, it is particularly challenging to achieve consistently high video quality and low end-to-end delay. In this paper, we focus on error-resilient transport for peer-to-peer video streaming. The algorithms we describe are representative of three broad categories of robust video streaming schemes: forward error correction, multiple descriptions, and prioritized automatic repeat request. We analyze how these techniques can be employed for live peer-to-peer multicast and discuss their relative merits. Our results show that significant gains can be obtained when systems are designed to adapt to the encoding structure of the video streams they are transmitting. They also reveal the importance of avoiding congestion at every peer participating in the multicast to obtain a low-latency system. Finally, we provide insights as to which are the important metrics to compare different peer-to-peer streaming systems.
Sponsorship	IEEE Publication
Starting Page	25
Ending Page	38
Page Count	14
File Size	840877
File Format	PDF
ISSN	00189219
Volume Number	96
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Streaming media Large-scale systems Internet Relays Delay Multicast algorithms Robustness Forward error correction Automatic repeat request video streaming Error resilience multicast peer-to-peer
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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