Smart Dynamic Resource Allocation Controller in Bandwidth Slicing Based on Spiking Neural Networks

Abstract

Software Defined Networking (SDN) is a modern network architectural model that manages network traffic using software. SDN is a networking scenario that modifies the conventional network design by combining all control features into a single place and making all choices centrally. Controllers are the "brains" of SDN architecture since they are responsible for making control decisions and routing packets at the same time. The capacity for centralized decision-making on routing improves the performance of the network. SDN's growing functionality and uses have led to the development of many controller systems. Every SDN controller idea or design must prioritize the control plane since it is the most crucial part of the SDN architecture. This paper, present Dynamic Resource Allocation based on the Spiking Neural Network (DRASR) approach, which is responsible to distribute available resources among all slices justly according to the type of demand. The simulation results show that the benefit of the network throughput is about 98.8%.