An Approximate Performance of Self-Similar Lognormal M 1 K Internet Traffic Model
Jumoke Popoola, Olusogo Joshua Popoola, Oyebayo Ridwan Olaniran · International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia) · 2019
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.