A SDN Based Dynamic Traffic Scheduling Algorithm
Software Defined Networking (SDN) is a new networking paradigm that separates the network control plane from the packet forwarding plane. It provides the applications with an abstracted and centralized view of the distributed network state. This paper utilizes SDN for congestion awareness and traffic scheduling for the switch congestion control. For such a purpose, a traffic assignment optimization model is proposed that is based on the link utilization ratio sample variance. We specifically develop chaos genetic algorithm for solving this NP hard problem. For algorithm verification, we use mininet, floodlight and iperf to simulate the SDN network with analysis. The simulation results show that our algorithm is able to make the link arrangement utilization more balanced and reasonable.
2016 International Conference on Cyber Enabled Distributed Computing and Knowledge Discovery (CyberC)