Bentaleb, A.Beğen, Ali CengizHarous, S.Zimmermann, R.2020-05-012020-05-012018-06-12978-1-4503-5192-8http://hdl.handle.net/10679/6549https://doi.org/10.1145/3204949.3204961In streaming media, it is imperative to deliver a good viewer experience to preserve customer loyalty. Prior research has shown that this is rather difficult when shared Internet resources struggle to meet the demand from streaming clients that are largely designed to behave in their own self-interest. To date, several schemes for adaptive streaming have been proposed to address this challenge with varying success. In this paper, we take a different approach and develop a game theoretic approach. We present a practical implementation integrated in the dash.js reference player and provide substantial comparisons against the state-of-the-art methods using trace-driven and real-world experiments. Our approach outperforms its competitors in the average viewer experience by 38.5% and in video stability by 62%.engrestrictedAccessconferenceObject132600045534310000210.1145/3204949.3204961HTTP adaptive streamingDASHGame theoryQoE optimizationConsensusABR schemeFastMPC2-s2.0-85050653978