A Framework for QoS-based Routing in SDNs Using Deep Learning
Ampratwum Isaac Owusu, Amiya R. Nayak · 2020
Due to speedy increase in IoT devices, bandwidth intensive applications, voice and video streaming services as well as high speed gaming services on the internet, providing QoS-based solutions has become a major issue for service providers and has merited a lot of research from academia. Software defined networking is one of the most current interesting development in the field of research. Also, application of Artificial Intelligence (AI) in SDN for traffic engineering is widely researched. In this work, we present a framework based on SDN and VNF that identify the class of traffic real time and computes the appropriate route to meet the QoS demands of the traffic using a Deep neural network. The simulation results show that our proposed solution performs very well with an accuracy of 99.95% in comparison with its counterpart in the same area.