Development of Simulation Model in Heterogeneous Network Environment: Comparing the Accuracy of Simulation Model

We present a novel approach for the measurement and estimation of network traffic management between network nodes in heterogeneous environment. This research investigates performance evaluation of network traffic on heterogeneous services and technologies environment. We propose an enhanced equation to evaluate the performance of network traffic management via Little Law and Queuing theory to improve the evaluation algorithm. To get accuracy results on the performance of simulation model, we measure (verify and validate) data from lab experiment and real network environment. We use network management tool to capture those data and Fluke Optiview device (network analyzer) to generate traffic. As a result, this simulation model can provide a good approximation of the real traffic observed in the real network environment. Through laboratory and field experiments, it shows that the model via simulation is capable of approximating the performance of network traffic management over heterogeneous services and techniques within a minimum error range.