Open AccessLayer 2 Path Evaluation System using Machine Learning
Author(s) -
Mahamah Sebakor
Publication year - 2021
Publication title -
ecti transactions on electrical eng. / electronics and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.148
H-Index - 7
ISSN - 1685-9545
DOI - 10.37936/ecti-eec.2021193.244943
Subject(s) - computer science , bridge (graph theory) , layer (electronics) , path (computing) , artificial intelligence , application layer , protocol (science) , distributed computing , software , work (physics) , computer network , virtual lan , machine learning , operating system , medicine , mechanical engineering , chemistry , alternative medicine , organic chemistry , pathology , engineering
Is it strange that the spanning tree protocol (STP) has been the only thing used to defend the Layer-2 backbone against looping? Do we trust it? For several decades, the campus backbone has often been an unsuspected problem, one of which is STP failure. Meanwhile, the MAC address flapping is probably a feasible issue for modern network fabrics. According to the serious Layer-2 issues, particularly the legacy switches extended STP design, this work uses the notion of a software-defined network fashion to evaluate the traditional and modern networks. Through the MAC address lookup of all bridge devices, this work proposes the Layer-2 evaluation system (LES), which uses a novel approach known as support supervised learning to create the data preparation for machine learning. Additionally, the LES enabled network administrators to determine their backbones. This study is intended to evaluate the potential slowdown network caused by MAC address problems. Furthermore, this work investigates the proposed method in a real network, and it also covers the evaluation and performance of our proposed method.