Spike neural network as a controller in SDN network

The paper proposes a methodology for predicting packet flow at the data plane in smart SDN based on intelligent controller of spike neural networks(SNN). This is applied to predict subsequent step flow, consequently reducing overcrowding that might happen. centralized acts as reactive managing clustering head process Software Defined Network layer proposed model. simulation results show capability Spike Neural control improve (QoS) whole network terms minimizing loss ratio and increased buffer utilization ratio.