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《第36届中国控制会议论文集(B)》2017年
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A Stochastic Optimization Approach for Dynamic Adaptive Scalable Video Streaming over NDN

Xiangyang Wu  Xiaobin Tan  Yunfeng Shao  Jiawei Ni  Jin Zhu  
【摘要】:Named Data Networking(NDN) is a general proposed network layer protocol which offers a set of rich functionality:in-network storage, multi-path forwarding, and data-centric security. The cache and multi-path feature improves the efficiency of transmission but increases the difficulty of the bandwidth estimation. In this paper, a dynamic layer switching strategy using Lyapunov Optimization is proposed for dynamic adaptive scalable video streaming over NDN. It aims for optimizing long-term quality-of-experience(QoE) of users via maximizing video quality subject to a constraint on playback smoothness, interruption and fluctuation. The proposed algorithm does not require a priori knowledge of the network bandwidth dynamics, and is capable of operating online with the client's currently available information. Experimental results indicate that our algorithm performs better than others in NDN.
【作者单位】:Laboratory for Future Networks,University of Science and Technology of China
【基金】:supported by National Natural Science Foundation of China under Grant 61673360 and 61233003 supported by ZTE Industry-Academia-Research Cooperation Funds
【分类号】:TP393.0
【正文快照】:
1 IntroductionWhile the Internet was originally designed for host-to-hostcommunications,it has increasingly been used for contentdissemination,and video consumption has grown so fast thatthe core network is congested today.Along with the fur-ther growth

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