Performance Evaluation of Queuing Disciplines for Multi-Class Traffic Using OPNET Simulator

Queuing disciplines have now become the subject of intensive discussion in network field. There are several queuing disciplines that claim best performance. In this paper, we evaluate a hypothetical network topology based on multi-class traffic approach. Multi-class traffic provides for aggregate traffic to be classified and conditioned at the edge of the network routers on the basis of performance. We take four very popular and commercially deployed queuing disciplines (FIFO, PQ, WFQ and DWRR) for multi-class traffic and analyze their performance using a very powerful simulation tool, OPNET. We find that in general, without any specific parameter, WFQ and DWRR show best and very close performance for all considered parameters except delay jitter and end to end delay where PQ seems better. Key-Words: Weighted-Fair Queuing, Deficit-Weighted Round Robin, Priority Queuing, Multi-Class Traffic, OPNET Simulation