Achieving proportional loss differentiation using probabilistic preemptive burst segmentation in optical burst switching WDM networks

Abstract

We propose a probabilistic preemptive burst segmentation (PPBS) scheme to provide traffic classes with different quality-of-service (QoS) requirements in optical burst switching (OBS) networks. PPBS enables high priority bursts to preempt and segment low priority bursts in a probabilistic fashion. By tuning a preemptive parameter that can be instrumented locally on an OBS node, our scheme provides a flexible method to achieve service differentiation on an OBS switch for multiple prioritized traffic classes. We develop an analytical queueing model that captures the notion of increased bandwidth and parallel service using multiple wavelengths. It achieves 100% isolation between high and low priority classes and low loss probabilities in the single and multiple wavelength case. Specifically, our queueing model can achieve a proportional differentiated service (PDS) in terms of loss. Finally, we also compare the performance of PPBS with previous heuristic methods in achieving proportional loss differentiation using long range dependent traffic models.