Simulation of Network Traffic Based on Queuing Theory Using Opnet

Abstract

The simulation approach is the most cost effective and highly useful because it provides a virtual environment for network simulation of desirable features such as modeling a network based on specific criteria and analyzing its performance under different scenarios with no cost. Most networks are built to accommodate the needs of a single organization or group. So in current era, analysis of network simulation is very costly with real equipments, so by using some simulation tools which helps to simulate the data on mathematical view and generate the accurate results. To understand the total data transfer time from user to server and back in the network with network congestion. In this problem the queuing theory application in time especially M/M/1 method is used to define the network congestion and buffer time to provide the output of the query. Network simulation helps to examine problems with much less work and of much larger scope than are possible with experiments on real hardware. An invaluable tool in this case is the free OPNET network simulator that offers the tools for modeling, design, simulation, data mining and analysis. OPNET can simulate a wide variety of different networks which are linked to each other. Data message flows, packet losses, control/routing message flows, link failures, bit errors, etc. can be calculated. This is the most cost effective solution for to demonstrate the behaviors of different networks and protocols. In this thesis, the simulation of network traffic based on queuing theory has been proposed. Which will helps to reduce the network congestion in the network traffic.