In this paper we provide an analytical framework for studying the performance of optical burst switching (OBS) networks using burst segmentation. We first consider a single link model to evaluate the blocking probability of OBS using burst segmentation and confirm it by simulation. We use this analysis to demonstrate the benefit of burst segmentation over the well-known just-enough-time (JET) policy for the single link case. We then extend these models to a network scenario using a reduced load fixed point approximation to evaluate blocking probabilities and to show the advantages provided by burst segmentation for OBS networks.

This paper provides a framework for analysis and performance evaluation of Optical Burst Switching (OBS) networks. In particular, a new reduced load fixed point approximation model to evaluate blocking probabilities in OBS networks is introduced. The model is versatile enough to cover known OBS reservation policies such as Just-Enough-Time (JET), Just-In-Time (JIT), Burst Segmentation and Route-dependent Priorities. The accuracy of the model is confirmed by simulation and the various policies are compared.

This paper provides a scalable framework for analysis and performance evaluation of optical burst-switching (OBS) networks. In particular, a new reduced load fixed point approximation model to evaluate blocking probabilities in OBS networks is introduced. The model is versatile enough to cover known OBS reservation policies such as just-enough-time, just-in-time, burst segmentation, and route-dependent priorities. The accuracy of the model is confirmed by simulation and the various policies are compared.