Abstract
Simulation of Academic Computer Networks Using Probability Distributions: A Case Study in A Campus Network
Highlights
In order to accurately assess the effect of the protocols, applications, and users, used in network simulation, it is very important to generate a simulated traffic
The aim of this study is to model campus networks which have a general daily behaviour pattern, through simulators
This study is conducted with the aim of modelling a campus network with periodic behaviour with simulators, by using real time data collected from Siirt University Campus Network
Summary
In order to accurately assess the effect of the protocols, applications, and users, used in network simulation, it is very important to generate a simulated traffic. There are two types of traffic to consider when modelling with simulators. The first is the application-specific traffic to be modelled for the target application, and the other is the background traffic generated by other applications on the network. Background traffic has a significant effect on the behaviour of the target application with regard to the use of network resources [1]. Venkatesh and Vahdat [2] conducted a behavioural analysis on the synthetic and real background traffic for different applications. According to the results they obtained, it was concluded that each application was affected by the intensity in traffic at certain levels, depending on the type of application
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