NDLI: Optimizing the quality of scalable video streams on P2P networks

Content Provider	IEEE Xplore Digital Library
Author	Raj Kumar Rajendran Rubenstein, D.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Columbia Univ., New York, NY, USA (Raj Kumar Rajendran; Rubenstein, D.)
Abstract	The volume of multimedia data, including video, served through peer-to-peer (P2P) networks is growing rapidly. Unfortunately, high bandwidth transfer rates are rarely available to P2P clients on a consistent basis, making it difficult to use P2P networks to stream video for on-line viewing. In this paper, we develop and evaluate on-line algorithms that coordinate the pre-fetching of scalably-coded variable bitrate video. These algorithms are ideal for P2P environments in that they require no knowledge of the future variability or availability of bandwidth, yet produce a playback whose average rate and variability are comparable to the best off-line prefetching algorithms that have total future knowledge. To show this, we develop an off-line algorithm that provably optimizes quality and variability metrics. Using simulations based on actual P2P traces, we compare our on-line algorithms to the optimal off-line algorithm and find that our novel on-line algorithms exhibit near-optimal performance and significantly outperform more traditional pre-fetching methods.
Starting Page	953
Ending Page	959
File Size	2102422
Page Count	7
File Format	PDF
ISBN	0780387945
DOI	10.1109/GLOCOM.2004.1378101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Streaming media Communications Society
Content Type	Text
Resource Type	Article

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