Abstract As Software-Defined Networking (SDN) continues to evolve, network scalability an‎d controller performance have become crucial research challenges. Traditional SDN architectures rely on a single centralized controller, which simplifies management but introduces latency, limited scalability, an‎d a single point of failure. To address these issues, multi-controller SDN architectures have been proposed, enabling distributed intelligence, fault tolerance, an‎d improved performance in large-scale networks. This seminar investigates the performance of different SDN controller deployment models under simulated large-scale network environments using tools such as Mininet an‎d Ryu/ONOS/OpenDaylight. Key metrics—such as response time, throughput, packet loss, an‎d controller load balancing—are eva‎luated to identify performance trade-offs between centralized an‎d distributed control planes. The results demonstrate that a well-orchestrated multi-controller system significantly enhances scalability, fault tolerance, an‎d latency reduction while maintaining policy consistency. These findings highlight the importance of intelligent controller placement an‎d synchronization mechanisms in achieving efficient an‎d reliable next-generation SDN infrastructures for massive IoT an‎d 5G-ready environments.

10/29/2025 12:00:00 AM

87996

1404/08/07

SDN-Driven Network Control for Large-Scale loT Deployments over G5

Software-Defined Networking (SDN) , Multi-Controller Architecture, , Performance eva‎luation ,Scalability , Fault Tolerance , Controller Placement , Latency Reduction , ,Network Simulation , Mininet , ONOS Controller , Ryu Controller , OpenDaylight