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IEEE International Performance Computing and Communications Conference (2011)
Orlando, FL, USA
Nov. 17, 2011 to Nov. 19, 2011
ISBN: 978-1-4673-0010-0
pp: 1-2
Holly French , Department of Computer Science, Carleton College, Northfield, MN, USA
Jie Lin , Department of Computer Science, Carleton College, Northfield, MN, USA
Tung Phan , Department of Computer Science, Carleton College, Northfield, MN, USA
Amy Csizmar Dalal , Department of Computer Science, Carleton College, Northfield, MN, USA
ABSTRACT
We aim to develop self-healing networks that can detect degradation of streaming video quality of experience (QoE), react, and correct the pathology on the network. We present an architecture to assess real time video QoE of RTMP streams. Results from a small set of preliminary experiments demonstrate that we can predict video QoE with 70 -- 80% accuracy based on stream state measurements and previous users' ratings, using at little as 20 seconds of stream state information.
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CITATION
Holly French, Jie Lin, Tung Phan, Amy Csizmar Dalal, "Real time video QoE analysis of RTMP streams", IEEE International Performance Computing and Communications Conference, vol. 00, no. , pp. 1-2, 2011, doi:10.1109/PCCC.2011.6108105
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