Applying Big Data, Machine Learning, and SDN/NFV for 5G Early-Stage Traffic Classification and Network QoS Control

@article{Le2018ApplyingBD,
  title={Applying Big Data, Machine Learning, and SDN/NFV for 5G Early-Stage Traffic Classification and Network QoS Control},
  author={Luong-Vy Le and Bao-Shuh Paul Lin and Sinh Do},
  journal={Transactions on Networks and Communications},
  year={2018},
  volume={6},
  pages={36-36}
}
Due to the rapid growth of mobile broadband and IoT applications, the early-stage mobile traffic classification becomes more important for traffic engineering to guarantee Quality of Service (QoS), implement resource management, and network security. Therefore, identifying traffic flows based on a few packets during the early state has attracted attention in both academic and industrial fields. However, a powerful and flexible platform to handle millions of traffic flows is still challenging… 
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