Pareto-Optimal Multi-Controller Placement in Software Defined Network

In recent days, the software defined network (SDN) is growing rapidly because of its simple network management. Despite all those advantages, controller placement problem is a key concern in SDN. Consequently, in this paper a solution for multi-controller placement problem (MPP) is proposed, considering the load capacity and the latency of the controller. Further, an optimization algorithm called multiobjective ant lion optimization (MO-ALO) is used to select the multi-controller based on the load capacity factor and the propagation latency. Hence, the chose controllers particularly POX, NOX, BEACON and FLOODLIGHT are put and reproduced in Pareto-based Optimal Controller placement (POCO) apparatus for the Internet 2 topology. The simulation results demonstrate the viability of the MO-ALO algorithm on the controller selection process. Further, from the assessment and representation of POCO tool unmistakably the proposed work gets great solution for the SDN multi-controller placement problem.