A Survey on Traffic Prediction and Classification in SDN

Abstract

The network traffic has been grown tremendously in the past decade due to the advances in the current technology. The modern computer network has evolved to manage the challenges and difficulties that have been put forth by the present network scenario. Software defined networking (SDN) has emerged to address the problems in the current network structures. SDN decouples the data plane and control plane in the traditional network and aids network programmability in a real network. It paves the way for the intelligence in the network by having a global view of the network in the centralized controller. This intelligence facilitates traffic prediction and classification that can assist activities like traffic analysis, dynamic updating of flow rules, intelligence routing, flow scheduling and security. In this paper, we discussed the existing traffic prediction and traffic classification methods in the SDN.