An Insight into Traffic Engineering in Software‐Defined Networks
U. Prabu, Vaithianathan Geetha · 2022
Software-defined networking (SDN) is a promising network model which splits the control and data plane. It has attained popularity amongst academia, research communities, and industry. The new control plane protocols can be defined in SDN which provides the opportunities to utilize the information about the network and its topology, traffic distribution among the network, and availability of paths. SDN also allows to forward packets at various granularities by offering the prospect of flow-based forwarding. Traffic engineering (TE) is a vital method to manage the networks by increasing its performance, minimizing the congestion, and directing the traffic. The primary objective of TE is to discover the optimum path along with bandwidth allocation and minimizing congestion. The path of a provided source and destination is computed for routing the traffic. It also has a major role in delivery of services in operational networks including Quality of Services. In this chapter a comprehensive study on TE in SDN, hybrid SDN, and traffic matrix measurement (TMM) and Estimation techniques is performed. The related works of those articles were also analyzed to have an in-depth inference on those techniques. Apart from the usual type of study, focus on the mathematical models or algorithms used is done which is first of its kind. The core classification of mathematical models or algorithms as well as the purpose of usage is also analyzed and listed so that it may be very helpful for the researchers to understand the working principle of each technique. The issues addressed in the past several years were also listed out.