Load Balancing Strategy of SDN Controller Based on Genetic Algorithm
Seung-Bo Kang, Gu‐In Kwon · Advanced science and technology letters · 2016
Software Defined Nerwork (SDN) provides centralized and opened way to manage the network by separating both control plane and data plane each other. The controller defined as a software is responsible for a control plane. If there is too much load on a specific controller, controller's suboptimal performance problem will be occurred. Because of this problem, network will provide services in an inefficient way. OpenFlow provides a way to connect switches with multiple controllers so that the controllers' load can be balanced. This paper suggests a solution to distribute and balance the load on controllers based on genetic algorithm when imbalance is detected. Then we can get an optimized way to deploy the switches to controller and network services can be provided efficiently.