Throughput Enhancement of Local Area Network Queuing Model in Heavy Traffic Network

Abstract

Performance analysis of local area network queuing models very important due to delay that may be caused by using inappropriate models .it also impacts the throughput especially in heavy traffic network. In this thesis we study local area network in heavy traffic network by the use of two types of inter-arrival time distribution models, Poisson inter-arrival time distribution queuing model and exponential inter-arrival time distribution queuing model. The main aim of this Thesis to enhance throughput of local area network in heavy traffic network by using queuing models, and evaluate the performance by using Poisson and exponential queuing models and compared them with each other to find the best model in terms of throughput. Optimized Network Engineering Tool (OPNET) simulator had been used to evaluate the throughput performance of the local area network in heavy traffic, first Poisson model had been used and calculate the throughput performance, then returned the same calculation to Exponential model. The result had been compared, Exponential queuing model had a better performance with the higher throughput in heavy traffic.