Enhanced SDN Controller Placement and Load Balancing for Campus Network Optimization

Large campus network environments bring various challenges to SDN, which include the controller placement and load management. The novel SDN controller placement optimization algorithm is proposed to address the network latency systematically while compensating for the load balancing along with the fault tolerance. This approach uses the Ryu controller and Mininet simulation to develop a method for determining the optimal controller locations based on network topology, traffic patterns, and computational complexity. Experimental evaluation demonstrates significant improvements over baseline placement strategy results in terms of network-performance metrics performance, decreasing latency by up to 35% and increasing network scalability. The algorithm offers a data-driven framework for strategic controller placement within the complexity of campus network infrastructures.