Using fuzzy control routing for dynamic load balancing over Software-Defined Networks

The load-balancing and forwarding mechanisms of traditional software-defined networks (SDNs) often rely on static path selection.Conventional mechanisms lead to uneven resource utilization and bottlenecks under high-traffic conditions.Therefore, the existing methods require more flexibility in decision-making.This study introduces a loadbalancing algorithm based on fuzzy logic to address the difficulty of setting multivariable input thresholds.The algorithm uses fuzzy logic to combine the network parameters (queue length, link utilization, link delay, and packet loss rate) as fuzzy inputs.Converting the fuzzy input into a score is the key to achieving optimal traffic allocation in the mechanism.The proposed mechanism improves resource utilization and reduces bottlenecks and reliability in dynamic network-load situations.The results indicated that the proposed method achieved a higher throughput under high-load conditions.Moreover, the results maintained low packet loss and delay rates.Load balancing based on fuzzy logic provides an effective solution for SDN environments.