Comparing DASH Adaptation Algorithms in a Real Network Environment

Conference: European Wireless 2019 - 25th European Wireless Conference
05/02/2019 - 05/04/2019 at Aarhus, Denmark

Proceedings: European Wireless 2019

Pages: 6Language: englishTyp: PDF

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Talon, Davide; Attanasio, Luca; Chiariotti, Federico; Gadaleta, Matteo; Zanella, Andrea; Rossi, Michele (Department of Information Engineering, University of Padova, Via Gradenigo, 6/b, 35131 Padova, Italy)

Over the past few years, the Dynamic Adaptive Streaming over HTTP (DASH) standard has been widely adopted by video streaming services; this has led to a considerable amount of research on efficient adaptation algorithms to maximize users’ Quality of Experience (QoE), but the comparison between algorithms is often flawed and unrealistic. Trace-based simulations or experiments in wired testbeds often fail to capture the full complexity and variability of a live network environment, and the comparison between them is often biased by the simplistic assumptions made about the simulation/testing setup. In this work, we implement four of the most representative adaptation algorithms and compare their performance in a real campus network. This allows us to have a fair comparison of the various algorithms’ strengths and weaknesses in a representative scenario, improving the understanding of the dynamics of video streaming adaptation and highlighting the open problems in the field. The test results make a clear trade-off emerge, as algorithms designed for high fairness in a static scenario cannot deal with a dynamic channel and cross-traffic effectively and result in very low QoE levels, while more aggressive algorithms face rebuffering events in fast-varying scenarios.