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

Authors

  • Luong-Vy Le College of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan
  • Bao-Shuh Lin Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan Microelectronics & Information Research Center, National Chiao Tung University, Hsinchu, Taiwan
  • Sinh Do Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan

DOI:

https://doi.org/10.14738/tnc.62.4446

Keywords:

Traffic classification, Machine Learning, Big Data, SON, 5G, InfoSphere, Streaming

Abstract

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. This study aims to demonstrate how to integrate various state-of-the-art machine learning (ML) algorithms, big data analytics platforms, software-defined networking (SDN), and network functions virtualization (NFV) to build a comprehensive framework for developing future 5G SON applications. This platform successfully collected, stored, analyzed, and identified a huge number of real-time traffic flows at broadband Mobile Lab (BML), National Chiao Tung University (NCTU). Moreover, we also implemented network QoS control to configure priorities per-flow traffic to enable bandwidth guarantees for each application by using SDN. Finally, the performance of the proposed models was evaluated by applying them to a real testbed environment. The powerful computing capacity of the platform was also analyzed.

Author Biographies

Luong-Vy Le, College of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan

Le Luong Vy (leluongvy.eed03g@nctu.edu.tw) received the B.S. degree in electronics and telecommunication engineering from Da Nang University of Technology, Vietnam, in 2009. From February 2009 to February 2010, He worked as a Network Optimization Engineer at Viettel Group, Vietnam. From February 2010 to 2013, He was an Operation and Maintenance Engineer at Gtel mobile, Vietnam. From February 2013 to January 2015, He was Graduate student researcher at Network Communications Laboratory, and He received his M.Sc. in Electrical Engineering and Computer Science in Jan 2015 National Chiao Tung University (NCTU), Taiwan, where He is currently working toward his Ph.D. degree. He is a researcher at SDN Technology Center, Broadband Mobile Lab（BML）, NCTU, Taiwan. His research interests include 5G network, big data, machine learning, SDN/NFV

Bao-Shuh Lin, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan Microelectronics & Information Research Center, National Chiao Tung University, Hsinchu, Taiwan

Bao-Shuh Paul Lin received the Ph.D.  degree in computer science from the University of Illinois at   Chicago, IL, USA. He has been a Chair Professor with the Department of Computer Science and the   Chief   Director of Microelectronics and Information Research Center, National Chiao Tung University, Hsinchu, Taiwan, since 2009.  He has also been the Director of Committee of Communication Industry Development, Ministry of Economic Affairs since 2001.  He was the Vice President of Industrial Technology Research Institute (ITRI) from 2001 to 2009 and the General Director of the Information and Communications Research Laboratories (ICL), ITRI from 2001 to 2009. From 1979 to 1991, he was with Bell Labs of AT&T, Boeing, and two other high-tech firms before coming back to Taiwan in 1991.  From 1991 to 1998, he worked for ITRI and served as the Director of Computer Communications Research Division in CCL (the forerunner of ICL) and was later promoted to its Deputy General Director

Sinh Do, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan

Do Sinh (dosinhuda.cs04g@nctu.edu.tw) received the B.S. degree in electronics and telecommunication engineering from Da Nang University of Technology, Vietnam, in 1997. From 1997 to 2007, He worked for the Ministry of Post and Telecommunications of Vietnam, and from 2007 to 2015 he was a lecturer in the Department of Information Technology, Dong A University, Da Nang, Vietnam. From 2003 to 2006, he also studied in the Department of Computer Science, Da Nang University of Technology. He received his M.Sc. in Computer Science in Sep 2006 Da Nang University of Technology, Vietnam. From 2015 to present, he is currently working toward his Ph.D. degree in the Department of Computer Science, National Chiao Tung University (NCTU), Taiwan. He is a researcher at SDN Technology Center, Broadband Mobile Lab, NCTU, Taiwan. His research interests include 5G network, SDN/NFV, Internet of Things, big data and machine learning.

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Published

2018-05-03

How to Cite

Le, L.-V., Lin, B.-S., & Do, S. (2018). Applying Big Data, Machine Learning, and SDN/NFV for 5G Early-Stage Traffic Classification and Network QoS Control. Discoveries in Agriculture and Food Sciences, 6(2), 36. https://doi.org/10.14738/tnc.62.4446

Issue

Vol. 6 No. 2 (2018): Transactions on Networks and Communications

Section

Articles