Enabling QoE-aware Mobile Cloud Video Recording over Roadside Vehicular Networks

被引:0
|
作者
Tongtong Jiang [1 ,2 ,3 ]
Zhaobin Deng [1 ,2 ,3 ]
Weiwei Huang [1 ,2 ,3 ]
Guoqing Zhang [4 ]
机构
[1] Department of Computer Science, Sun Yat-sen University
[2] Guangdong Province Key Laboratory of Big Data Analysis and Processing, Sun Yat-sen University
[3] Collaborative Innovation Center of High Performance Computing, National University of Defense Technology
[4] Institute of Computing Technology, Chinese Academy of Sciences
基金
美国国家科学基金会;
关键词
mobile cloud video; vehicular networks; quality-of-experience;
D O I
暂无
中图分类号
TN929.5 [移动通信];
学科分类号
080402 ; 080904 ; 0810 ; 081001 ;
摘要
Most of previous video recording devices in mobile vehicles commonly store captured video contents locally. With the rapid development of 4G/Wi Fi networks, there emerges a new trend to equip video recording devices with wireless interfaces to enable video uploading to the cloud for video playback in a later time point. In this paper, we propose a QoE-aware mobile cloud video recording scheme in the roadside vehicular networks, which can adaptively select the proper wireless interface and video bitrate for video uploading to the cloud. To maximize the total utility, we need to design a control strategy to carefully balance the transmission cost and the achieved QoE for users. To this purpose, we investigate the tradeoff between cost incurred by uploading through cellular networks and the achieved QoE of users. We apply the optimization framework to solve the formulated problem and design an online scheduling algorithm. We also conduct extensive trace-driven simulations and our results show that our algorithm achieves a good balance between the transmission cost and user QoE.
引用
收藏
页码:63 / 73
页数:11
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