Modeling Internet Traffic Generations Based on Users and Activities for Telecommunication Applications
American Journal of Undergraduate Research
A traffic generation model is a stochastic model of the data flow in a communication network. These models are useful during the development of telecommunication technologies and for analyzing the performance and capacity of various protocols, algorithms, and network topologies. We present here two modeling approaches for simulating internet traffic. In our models, we simulate the length and interarrival times of individual packets, the discrete unit of data transfer over the internet. Our first modeling approach is based on fitting data to known theoretical distributions. The second method utilizes empirical copulae and is completely data driven. Our models were based on internet traffic data generated by different individuals performing specific tasks (e.g. web-browsing, video streaming, and online gaming). When combined, these models can be used to simulate internet traffic from multiple individuals performing typical tasks.
Internet Traffic Simulation, Stochastic Models, Empirical Copula, Cumulative distribution function, Wireshark
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Stoudt, Sara; Badian-Pessot, Pamela; Mahop, Blanche Ngo; Earley, Erika; Menter, Jordan; Flores, Yadira; Williams, Danielle; Zhang, Weijia; Maharjan, Liza; Bao, Yixin; Rosenbauer, Laura; Nguyen, Van; Mendiratta, Veena; and Tania, Nessy, "Modeling Internet Traffic Generations Based on Users and Activities for Telecommunication Applications" (2016). Mathematics and Statistics: Faculty Publications, Smith College, Northampton, MA.
Archived as published.