An Approximate Performance of Self-Similar Lognormal M 1 K Internet Traffic Model

  • Jumoke Popoola Department of Statistics, University of Ilorin, Ilorin
  • Olusogo Popoola
  • Oyebayo Ridwan Olaniran
Keywords: Internet traffic, Self-similarity, G/M/1 Model, Log-normal distribution

Abstract

Modeling Internet traffic data with the inherent condition of concurrent arrival of packets requires the use of heavy-tailed distributions. In this paper, we present log-normal distribution as a suitable heavy-tailed distribution for modeling self-similar Internet arrival process. Specifically, we developed its approximate performance measures for large buffer size. Results using the simulated data confirm the adequacy of the proposed model.

Published
2019-12-30
How to Cite
Popoola, J., Popoola, O., & Olaniran, O. R. (2019). An Approximate Performance of Self-Similar Lognormal M 1 K Internet Traffic Model. Journal of Science and Technology, 11(2), 36-42. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/JST/article/view/5049