Performance Evaluation of Static vs. Adaptive Burst Size Techniques in Next-Generation OBS Architectures

According to the majority of Internet users, the performance of real-time traffic applications is measured and evaluated in terms of quality, speed, and efficiency. Applications such as online games, remote surveillance cameras, and online surgeries always require a large amount of bandwidth and high transmission speed. Consequently, the Optical Burst Switching (OBS) network is the typical technology currently used as an infrastructure to support these highly demanding communications. However, Quality of Service (QoS) in network communication remains a challenge, particularly in reducing three key criteria: packet loss, packet delay, and packet jitter. In this research, a hybrid (threshold-based and timer-based) burst assembly technique is implemented at an edge node, and various traffic loads with different burst lengths are applied and analyzed. Based on this evaluation, burst assembly issues are identified and classified according to media QoS criteria. To address these challenges, the Adaptive Burst Size (ABS) assembly technique is proposed and developed as an enhancement to static burst size techniques. The ABS technique consists of two main components: the traffic classification section and the size adaptation section. In the traffic classification section, the DiffServ technique is applied, while the size adaptation section manages the ABS functionality. Through the design, integration, and implementation of the ABS technique, QoS issues in OBS networks are mitigated by reducing packet loss, packet delay, and packet jitter. Therefore, the ABS technique is considered a flexible, capable, and efficient burst assembly method. Keywords: Optical Burst Switching (OBS), Burst Assembly, QoS, Static Burst Size (SBS), Adaptive Burst Size (ABS).