Game theory based bitrate adaptation for Dash.Js reference player

Title Game theory based bitrate adaptation for Dash.Js reference player
Author Bentaleb, A., Beğen, Ali Cengiz, Zimmermann, R.
Publication Date: 2018-11-28
Publication Place - IEEE
Subject HAS, DASH, QoE, Game theory, ABR
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-153864195-8
Record ID 6bc26253-ff6b-4014-84c9-ed5cb99ec6eb
Library Location Computer Science
Date 2018-11-28
Notes National Natural Science Foundation of China ; NUS (Suzhou) Research Institute ; UAE University
Sample Text Most existing DASH adaptive bitrate (ABR) schemes are designed to behave in their own self-interest and do not perform consistently in all network environments. In this work, we provide a practical implementation, materials and demonstration of a game theoretical ABR scheme, termed GTA [1], in the dash.js reference player. The GTA approach optimizes the viewer experience across multiple players without requiring explicit communication, and maintains a high playback bitrate while reducing startup delay, and minimizing quality switches and stalls.
DOI 10.1109/ICMEW.2018.8551495
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Game theory based bitrate adaptation for Dash.Js reference player

Author Bentaleb, A., Beğen, Ali Cengiz, Zimmermann, R.
Publication Date 2018-11-28
Publication Place - IEEE
Subject HAS, DASH, QoE, Game theory, ABR
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-153864195-8
Record ID 6bc26253-ff6b-4014-84c9-ed5cb99ec6eb
Library Location Computer Science
Date 2018-11-28
Notes National Natural Science Foundation of China ; NUS (Suzhou) Research Institute ; UAE University
Sample Text Most existing DASH adaptive bitrate (ABR) schemes are designed to behave in their own self-interest and do not perform consistently in all network environments. In this work, we provide a practical implementation, materials and demonstration of a game theoretical ABR scheme, termed GTA [1], in the dash.js reference player. The GTA approach optimizes the viewer experience across multiple players without requiring explicit communication, and maintains a high playback bitrate while reducing startup delay, and minimizing quality switches and stalls.
DOI 10.1109/ICMEW.2018.8551495
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