Machine Learning for Networking: Workflow, Advances and Opportunities
作者： Mowei Wang , Yong Cui , Xin Wang , Shihan Xiao , Junchen Jiang
DOI: 10.1109/MNET.2017.1700200
关键词:
摘要: … Other new achievements, eg, GAN, have also shown that the machine learning model has the ability to generate elements existing in the real world and create strategies people do not …
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sci-hub.se 参考文章(14)
Keith Winstein, Hari Balakrishnan, TCP ex machina: computer-generated congestion control acm special interest group on data communication. ,vol. 43, pp. 123- 134 ,(2013) , 10.1145/2486001.2486020
David D. Clark, Craig Partridge, J. Christopher Ramming, John T. Wroclawski, A knowledge plane for the internet Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications - SIGCOMM '03. pp. 3- 10 ,(2003) , 10.1145/863955.863957
Jun Zhang, Xiao Chen, Yang Xiang, Wanlei Zhou, Jie Wu, Robust network traffic classification IEEE ACM Transactions on Networking. ,vol. 23, pp. 1257- 1270 ,(2015) , 10.1109/TNET.2014.2320577
Doron Zarchy, P. Brighten Godfrey, Michael Schapira, Qingxi Li, Mo Dong, PCC: re-architecting congestion control for consistent high performance networked systems design and implementation. pp. 395- 408 ,(2015)
Ethan Katz-Bassett, Antonio Pescapè, Vasileios Giotsas, Harsha V. A. Madhyastha, Pietro Marchetta, Ítalo Cunha, Matt Calder, Yi-Ching Chiu, Brandon Schlinker, Bruno V. A. Machado, Sibyl: a practical Internet route oracle networked systems design and implementation. pp. 325- 344 ,(2016)
Ion Stoica, Henry Milner, Vyas Sekar, Davis Shepherd, Hui Zhang, Junchen Jiang, CFA: a practical prediction system for video QoE optimization networked systems design and implementation. pp. 137- 150 ,(2016)
Yi Sun, Xiaoqi Yin, Junchen Jiang, Vyas Sekar, Fuyuan Lin, Nanshu Wang, Tao Liu, Bruno Sinopoli, CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Prediction acm special interest group on data communication. pp. 272- 285 ,(2016) , 10.1145/2934872.2934898
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula, Resource Management with Deep Reinforcement Learning hot topics in networks. pp. 50- 56 ,(2016) , 10.1145/3005745.3005750
Nei Kato, Zubair Md. Fadlullah, Bomin Mao, Fengxiao Tang, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani, The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective IEEE Wireless Communications. ,vol. 24, pp. 146- 153 ,(2017) , 10.1109/MWC.2016.1600317WC
Zhitang Chen, Jiayao Wen, Yanhui Geng, Predicting future traffic using Hidden Markov Models international conference on network protocols. pp. 1- 6 ,(2016) , 10.1109/ICNP.2016.7785328