Internet Data Bandwidth Prediction and Optimization in Educational Institutions

Authors

  • Michael F. Adaramola Electrical and Electronics Engineering Department, Lagos State University of Science and Technology, Ikorodu, P.M.B. 21,606, Ikeja, Lagos State, Nigeria.
  • Olugbemiga O. Shoewu Electronics and Computer Engineering Department, Lagos State University, Epe, Lagos State, Nigeria.

DOI:

https://doi.org/10.9734/bpi/ratmcs/v2/19319D

Keywords:

Internet bandwidth, optimization, link-load balancer, prediction, maximized utilization, availability of internet access

Abstract

Today, internet connectivity and reliability is the heart of every business operation. This chapter discusses a solution to the issue of Internet bandwidth optimization and forecasting in Nigerian higher education institutions. The report also suggests using Langrage's interpolation method to apply for the predictability of internet bandwidth in the educational institutions.  The research presents a unique graphical solution of effective actual bandwidth (Mbps) and the associated acceptable number of internet Users ('000) in the institutions.  The forecast enables us to monitor the actual internet bandwidth and the acceptable number of internet users as the user base grows.

Published

2023-07-01

How to Cite

Michael F. Adaramola, & Olugbemiga O. Shoewu. (2023). Internet Data Bandwidth Prediction and Optimization in Educational Institutions. Research and Applications Towards Mathematics and Computer Science Vol. 2, 99–113. https://doi.org/10.9734/bpi/ratmcs/v2/19319D

Issue

Research and Applications Towards Mathematics and Computer Science Vol. 2

Section

Chapters