Queue Length Analysis of End-to-end Differentiated Service Networks with Self-similar Traffic

Abstract

In this thesis, a novel analytical model is proposed based on the arrival rate and the service rate for multiple hops queuing systems. Then the mathematical derivations are extended to end-to-end differentiated service networks with self-similar traffic. The upper and lower bound of the queue length at each hop is derived. The results illustrate the performance gain in queue length at each hop. Finally, a novel adaptive admission controller algorithm is proposed based on the arrival rate and the service rate for multiple hop queuing systems with self-similar network traffic. The adaptive admission controller algorithm can provide a guaranteed QoS performance for the higher priority classes, as long as the highest class QoS requests do not exceed the comprehensive network resources.