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The centralized architecture in software-defined network (SDN) provides aglobal view of the underlying network, paving the way for enormous research inthe area of SDN traffic engineering (SDN TE). This research focuses on the loadbalancing aspects of SDN TE, given that the existing reactive methods fordata-plane load balancing eventually result in packet loss and proactiveschemes for data plane load balancing do not address congestion propagation. Inthe proposed work, the SDN controller periodically monitors flow levelstatistics and utilization on each link in the network and over-utilized linksthat cause network congestion and packet loss are identified as bottlenecklinks. For load balancing the identified largest flow and further trafficthrough these bottleneck links are rerouted through the lightly-loadedalternate path. The proposed scheme models a Bayesian Network using theobserved port utilization and residual bandwidth to decide whether the newlycomputed alternate path can handle the new flow load before flow admissionwhich in turn reduces congestion propagation. The simulation results show thatwhen the network traffic increases the proposed method efficiently re-routesthe flows and balance the network load which substantially improves the networkefficiency and the quality of service (QoS) parameters.

A Proactive Flow Admission and Re-Routing Scheme for Load Balancing and Mitigation of Congestion Propagation in SDN Data Plane