A Dynamic Burst Assembly Approach for High-Priority and Self-Similar Traffic in High-Speed Optical Burst Switched Network

Abstract

Dynamic burst size selection is a challenging process in the optical burst switching (OBS) networks for efficient burst assembly. In this manuscript, a dynamic burst-size assembly approach is proposed to standardize the data burst size in OBS networks. The proposed approach utilizes hysteresis properties in the burst size decider module (BSDM) to decide the data burst size. The inculcation of the dynamic burst assembly algorithm (DBAA) focuses on the nonlinear features to handle the blocking problem during the burst assembly process. DBAA involves a priority evaluator mechanism to determine the importance of each incoming packet at the ingress node. This provides a dynamic decision-making strategy to standardize the data burst size with change in transition count number (TCN). The performance of the proposed approach is evaluated on the self-similar traffic model with burstiness, ranging from H = 0.5–0.7. The experimental results show a decrease in the average queuing delay by 14.59% and an improved average burst utilization by 23.36% compared with the hybrid (time/length) approach. However, the proposed DBAA attains better burst utilization with a significant reduction in queuing delay. Furthermore, the consistency value of burst sizes indicates that DBAA performs better in terms of burst utilization than existing approaches.