DocumentCode :
3691911
Title :
Autotune: game-based adaptive bitrate streaming in P2P-assisted cloud-based vod systems
Author :
Yuhua Lin;Haiying Shen
Author_Institution :
Department of Electrical and Computer Engineering, Clemson University, Clemson, South Carolina 29634
fYear :
2015
Firstpage :
1
Lastpage :
10
Abstract :
Hybrid peer-to-peer assisted cloud-based video-on-demand (VoD) systems augment cloud-based VoD systems with P2P networks to improve scalability and save bandwidth costs in the cloud. In these systems, the VoD service provider (e.g., NetFlix) relies on the cloud to deliver videos to users and pays for the cloud bandwidth consumption. The users can download videos from both the cloud and peers in the P2P network. It is important for VoD service provider to (i) minimize the cloud bandwidth consumption, and (ii) guarantee users´ satisfaction (i.e., quality-of-experience). Though previous adaptive bitrate streaming (ABR) methods improve video playback smoothness, they cannot achieve these two goals simultaneously. To tackle this challenge, we propose AutoTune, a game-based adaptive bitrate streaming method. In AutoTune, we formulate the bitrate adaptation problem in ABR as a noncooperative Stackelberg game, where VoD service provider and the users are players. The VoD service provider acts as a leader and it decides the VoD service price for users with the objective of minimizing cloud bandwidth consumption while ensuring users´ participation. In response to the VoD service price, the users select video bitrates that lead to maximum utility (defined as a function of its satisfaction minus associated VoD service fee). Finally, the Stackelberg equilibrium is reached in which the cloud bandwidth consumption is minimized while users are satisfied with selected video bitrates. Experimental results from the PeerSim simulator and the PlanetLab real-world testbed show that compared to existing methods, AutoTune can provide high user satisfaction and save cloud bandwidth consumption.
Keywords :
"Videos","Bit rate","Bandwidth","Cloud computing","Servers","Peer-to-peer computing","Games"
Publisher :
ieee
Conference_Titel :
Peer-to-Peer Computing (P2P), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/P2P.2015.7328526
Filename :
7328526
Link To Document :
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