Traffic predictive-based flow splitting rerouting scheme for link failures in software-defined networks

Abstract

This paper presents a traffic rerouting approach to keep a satisfactory QoS (Quality of Service) in virtualized network infrastructures (VPN, Cloud, etc.), supervised by an SDN (Software-Defined Networking) controller dealing with high traffic fluctuations. Traffic fluctuations are usually caused by link failures or link congestion and result in high packet loss, long delay times, and high jitter. These metrics are critical in computer network's QoS assessing. In our strategy, we combine traffic prediction in the SDN controller with flow splitting in the data plane. Simulations reveal that this strategy provides more satisfying values of the QoS assessment metrics compared to the literature.

Keywords:

• Software-defined network
• quality of service
• flow splitting
• prediction of network traffic
• virtual networks

Disclosure statement

This work is original and not published elsewhere. The authors confirm that they have read and approved the manuscript and there is no conflict of interest. Also, the authors confirm that there are no ethical issues involved.

Additional information

Notes on contributors

Vianney Kengne Tchendji

Vianney Kengne Tchendji is an associate professor of computer science at the University of Dschang, Dschang, Cameroon. He received his PhD in computer science from the University of Picardie-Jules Verne, Amiens, France, in June 2014. Prof. Kengne Tchendji has served as member committee of international conferences and reviewer for many international journals in computer science. His current research interests include parallel algorithms and architectures, network management and cybersecurity.

Joëlle Kabdjou

Joëlle Kabdjou is a PhD student at the University of Dschang, Dschang, Cameroon. She earned her master's degree in networks and distributed services from the Faculty of Science, University of Dschang, in July 2021. His current research interests include software-defined network, adversarial machine learning, cyber security.

Yannick Florian Yankam

Yannick Florian Yankam is an assistant lecturer of computer science in the Department of Telecommunication and Network Engineering at the University of Dschang, Dschang, Cameroon. He received his PhD in computer science from the University of Dschang in June 2021. His current research interests focused on the management of networks and services, resource management in wired and wireless networks applied in network virtualization, IoT, software-defined networks, and cloud computing.