State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems

ZM Fadlullah, F Tang, B Mao, N Kato… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …

Machine learning for networking: Workflow, advances and opportunities

M Wang, Y Cui, X Wang, S Xiao, J Jiang - Ieee Network, 2017 - ieeexplore.ieee.org
Recently, machine learning has been used in every possible field to leverage its amazing
power. For a long time, the networking and distributed computing system is the key …

On removing routing protocol from future wireless networks: A real-time deep learning approach for intelligent traffic control

F Tang, B Mao, ZM Fadlullah, N Kato… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
Recently, deep learning has appeared as a breakthrough machine learning technique for
various areas in computer science as well as other disciplines. However, the application of …

Content popularity prediction and caching for ICN: A deep learning approach with SDN

WX Liu, J Zhang, ZW Liang, LX Peng, J Cai - IEEE access, 2017 - ieeexplore.ieee.org
In information-centric networking, accurately predicting content popularity can improve the
performance of caching. Therefore, based on software defined network (SDN), this paper …

A tensor based deep learning technique for intelligent packet routing

B Mao, ZM Fadlullah, F Tang, N Kato… - … 2017-2017 IEEE …, 2017 - ieeexplore.ieee.org
Recently, network operators are confronting the challenge of exploding traffic and more
complex network environments due to the increasing number of access terminals having …