Author(s)

Sulaiman Sani, Onkabetse A. Daman

Department of Mathematics, University of Botswana, Gaborone.

In this article, modeling in queuing systems with heavy traffic customer flows is reviewed. Key areas include their limiting distributions, asymptotic behaviors, modeling issues and applications. Heavy traffic flows are features of queuing in modern communications, transportation and computer systems today. Initially, we reviewed the onset of asymptotic modeling for heavy traffic single server queuing systems and then proceeded to multi server models supporting diffusion approximations developed recently. Our survey shows that queues with heavy traffic customer flows have limiting distributions and extreme value maximum. In addition, the diffusion approximation can conveniently model performance characters such as the queue length or the waiting time distributions in these systems.

Queuing Process, Brownian Process, Martingale, Regularly Varying Functions

Sani, S. and Daman, O. (2014) Mathematical Modeling in Heavy Traffic Queuing Systems. American Journal of Operations Research, 4, 340-350. doi: 10.4236/ajor.2014.46033.