摘要
Nowadays,video streaming counts for the major part of network traffic over the Internet.However,on account of the host-to-host mechanism of the traditional IP network,video distribution over IP-based Internet encounters bottlenecks.Fortunately,a new proposed future Internet architecture,named data networking(NDN)can improve the performance of video distribution by its features such as in-network storage,multi-path forwarding,etc.In this paper,we design an adaptive bitrate algorithm based on Lyapunov optimization theory over NDN to optimize the long-term quality-of-experience(QoE)of video distribution while ensuring the stability of the whole system.When the network condition is abundant and stable,the problem can be simplified by approximating to a fixed-slot queuing model,but the theoretical performance will degrade when the network status is poor and fluctuate fiercely.Therefore,we divide the problem into two models of fixed time slot and non-fixed time slot and design two Lyapunov optimization algorithms to adapt different network scenarios.The proposed algorithms do not require prior knowledge of the network bandwidth and are capable of running online with the client’s available information.Simulation and realistic experiment results demonstrate that our algorithms perform better than others in NDN.
基金
supported by the National Key R&D Program of China under Grant 2020YFA0711400
the National Science Foundation of China under Grant 61673360
the CETC Joint Advanced Research Foundation under Grant 6141B08080101.
作者简介
Xiaobin Tan was born in Shannxi China.He received the Ph.D.degree in 2003 from the department of automation,University of Science and Technology of China.He is now an Associate Professor.His main research interests include future network architecture modeling and optimization,information security.e-mail:xbtan@ustc.edu.cn;Shunyi Wang was born in Guizhou China.He received the B.S.degrees in the department of automation.University of Science and Technology of China in 2019.His main research direction is dynamic adaptive video streaming transmission and 360 degrees video streaming transmission.He is currently pursuing an M.S.degree in Laboratory for Future Networks.e-mail:wsy12@mail.ustc.edu.cn;corresponding author:Quan Zheng,received the B.S.degree in production process automation from Dalian University of Technology.Dalian,Liaoning.China,in 1992 and the M.S.degree in automatic control theory and application from University of Science and Technology of China(USTC).Hefei,Anhui,China,in 1995 and the Ph.D.degree in computer software and theory from USTC in 2003.He is currently an Associate Professor of the Department of Automation and Deputy Director of the Laboratory for Future Networks.His research interests include video semantic retrieval,media content distribution,video quality detection,and future networks.e-mail:qzheng@ustc.edu.cn;Bei Liu was bom in Henan China.She received the M S.degree in 2017 from the University of Electronic Science and Technology of China.She is now an engineer in the 54th Research Institute of CETC.Her main research interests include network and information security.e-mail:18782941328@163.com;Yi He was bom in Shanxi China.He received the B.S.degree in 2011 from the department of electronic information science and technology,Shanxi University.He is now a postgraduate.His main research interests include future network architecture modeling and optimization,artificial intelligence.e-mail:heyi218@mail.ustc.edu.cn;Xiangyang Wu received the M.S.degree from University of Science and Technology of China in 2018.He now works in Huawei as a researcher.e-mail:wuxyl3@mail.ustc.edu.cn。
