Author
Bentaleb, A., Beğen, Ali Cengiz, Harous, S., Zimmermann, R.
Publication Date
2018-06-12
Publication Place
-
Association for Computing Machinery, Inc
Subject
HTTP adaptive streaming, DASH, Game theory, QoE optimization, Consensus, ABR scheme, FastMPC
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-1-4503-5192-8
Record ID
71f34c59-24de-4372-a6c8-58431a6e5e96
Library Location
Computer Science
Date
2018-06-12
Notes
National Natural Science Foundation of China ; National University of Singapore (Suzhou) Research Institute ; UAE University
Sample Text
In 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%.
DOI
10.1145/3204949.3204961
