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Multi-Layer Active Queue Management and Congestion Control for Scalable Video Streaming
Hachioji, Tokyo, Japan March 24-March 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCS.2004.128164524th IEEE International Conference on ...
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Seong-ryong Kang, Texas A&M University
Yueping Zhang, Texas A&M University
Min Dai, Texas A&M University
Dmitri Loguinov, Texas A&M University
Video streaming is becoming an increasingly important part of the present Internet. To guarantee a high-quality streaming environment to end users, many video applications require a strict form of network QoS that is not available in the present Internet. Thus, to supplement the best-effort model of existing networks, we study a new video streaming framework that allows applications to mark their own packets with different priority and use multi-queue congestion control inside routers to effectively drop the less-important packets during buffer over-flows. We describe priority AQM algorithms that provide "optimal" performance to video applications under arbitrary network loss and study a variation of Kelly?s congestion control in combination with our framework. We call the combined architecture PELS — Partitioned Enhancement Layer Streaming.
Citation:
Seong-ryong Kang, Yueping Zhang, Min Dai, Dmitri Loguinov, "Multi-Layer Active Queue Management and Congestion Control for Scalable Video Streaming," icdcs, pp.768-777, 24th IEEE International Conference on Distributed Computing Systems (ICDCS'04), 2004
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