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Behavior Modeling and Analysis in Multimedia Sharing Networks Open Access


Other title
Multimedia Sharing Networks
Behavior Modeling
Type of item
Degree grantor
University of Alberta
Author or creator
Hu, Bo
Supervisor and department
Zhao, Hong (Electrical and Computer Engineering)
Examining committee member and department
Jing, Yindi (Electrical and Computer Engineering)
Jiang, Hai (Electrical and Computer Engineering)
Zhao, Hong (Electrical and Computer Engineering)
Joseph, Dileepan (Electrical and Computer Engineering)
Liang, Jie (School of Engineering Science, Simon Fraser University)
Department of Electrical and Computer Engineering
Digital Signals and Image Processing
Date accepted
Graduation date
Doctor of Philosophy
Degree level
In multimedia sharing networks such as YouTube, and Flicker, etc, users actively participate and interact with each other, which influences not only each individual but also the entire system performance. Successful deployments of multimedia sharing networks show that user cooperation helps provide efficient and highly scalable platforms for multimedia distribution. However, since users are selfish, their cooperation cannot be guaranteed. In this thesis, we aim to design incentive mechanisms to stimulate user cooperation and also optimize the system performance. Without loss of generality, we use two multimedia applications as examples to show how to achieve our research goals. We first study a two-hop cooperative wireless multicast system, here after the base station broadcasts a packet, a relay node who receives the packet correctly helps forward it to the others. We model user interaction in this system as a multi-seller multi-buyer payment based game, where users pay to receive relay service and get paid if they help forward a packet. We then study an interactive multiview video streaming (IMVS) system, where an user can select one out of many available views for observation and switch views frequently. With the advances of multiview video coding techniques, users can cooperatively download videos even if they are watching different views. We then model user interaction as an indirect reciprocity game and formulate users' decision making associated with their view switching as a Markov decision process. In these two examples, our analysis shows that user behavior impacts the system performance significantly. Thus, we optimize our incentive mechanisms, which drive the games to desired stable equilibria, where users cooperate with each other and the system performance is maximized at the same time.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
B. Hu, H. V. Zhao and H. Jiang, Wireless Multicast Using Relays: Incentive Mechanism and Analysis, Accepted to IEEE Transaction on Vehicular Technology.B. Hu, G. Cheung and H. V. Zhao, Incentive Analysis for Cooperative Distribution of Interactive Multiview Video, IEEE International Conference on Acoustics, Speech and Signal Processing 2012 (ICASSP’12), Kyoto.B. Hu, H. V. Zhao and H. Jiang, Incentive Mechanism in Wireless Multicast, IEEE International Conference on Acoustics, Speech and Signal Processing 2011 (ICASSP’11), Prague.

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