부산대학교 도서관

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.