To reduce burst drop probability is a key issue in optical burst switching networks for it was connected strongly with the
network's overall performance. In this paper, we propose a novel O/E/O conversion and electronic storage based
strategy to resolve burst contention. Unlike traditional FDLs based contention resolution which is only able to provide
discrete buffering time, O/E/O storage based strategy can offer unlimited buffering time. We propose an intermediate
node architecture and corresponding scheduling algorithm called Nearest Available Void (NAV). Simulations show that
our novel burst contention resolution enjoys high contention resolution capability and only introduce extremely low
extra delay time compared to FDLs based mechanism. The maximum electronic RAM demand is also studied, and the
result shows that the demand is comparatively small, which implies the cost of this strategy can be economic.
Burst contention resolution is one of the most important issues in optical burst switching (OBS) networks. In this paper, an O/E/O conversion and electronic storage mechanism for contention resolution is proposed. Compared with fiber delay lines (FDL) O/E/O strategy can provide much longer and continuous delay time for the contending bursts, which can significantly reduce burst loss rate. For this mechanism, a new burst scheduling algorithm called Shortest Delay-
Best Fit (SD-BF) is proposed here to improve bandwidth utilization. In a network, O/E/O can be implemented with FDL to achieve a better performance while reducing node cost. In this paper, a semi-share structure for this combination strategy is proposed to balance the cost and performance. Numerical results show that a better performance is achieved by the combination strategy in the long haul back-bone networks. We also investigate the maximum electronic RAM capacity needed in the nodes to support O/E/O storage, and how to implement Quality-of-Service (QoS) with O/E/O storage.
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