Estimation of the ABW for mobile broadband over SDN using SFC-constrained shortest path algorithm

Abstract

Software-Defined Networking (SDN) is an evolving algorithm which is depended upon the computer network transformation. In SDN, Bandwidth Utilization is a critical aspect to enhance network performance. To obtain the accessible bandwidth for the Mobile Broadband over SDN and in sequence enhance the accessible Mobile Broadband is the main objective. A significant characteristic is ABW (ABW), having a robust influence on a wide range of applications. However, this metric is very complex to estimate using traditional or conventional methodologies. The Traditional Bandwidth Estimation Technique has limited accuracy along with huge convergence time. The Estimation Time cannot be predicted as it depends on the existence of appropriate traffic produced through any third-party applications. 50% of Systematic Errors are not uncommon. In order to overcome the above-mentioned issues, in this paper, a novel approach is introduced for the estimation of ABW over SDN using three different scenarios. In which, SFC constraint shortest distance algorithm is employed for solving the classical max-flow issue that occurs in multiple scenarios while evaluating the ABW. The experiment result is carried out using Mininet testbed for network emulation and Floodlight as an SDN controller. Some of the interesting cases are considered, and the ABW is measured for the proposed software-defined network and compared with the existing traditional network and existing software-defined network.