A Controller Placement Algorithm Using Ant Colony Optimization in Software-Defined Network

This thesis proposes a methodology named Ant Colony Optimization Controller Placement (ACO-CP), to solve the optimal controller location and provides better performance compared with Pareto Simulated Annealing and k-medoid method, specially on its overall global latency and controller-to-controller latency.