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8 December 2005 Switching performance of OBS network model under prefetched real traffic
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Proceedings Volume 6021, Optical Transmission, Switching, and Subsystems III; 602118 (2005) https://doi.org/10.1117/12.636216
Event: Asia-Pacific Optical Communications, 2005, Shanghai, China
Abstract
Optical Burst Switching (OBS) [1] is now widely considered as an efficient switching technique in building the next generation optical Internet .So it's very important to precisely evaluate the performance of the OBS network model. The performance of the OBS network model is variable in different condition, but the most important thing is that how it works under real traffic load. In the traditional simulation models, uniform traffics are usually generated by simulation software to imitate the data source of the edge node in the OBS network model, and through which the performance of the OBS network is evaluated. Unfortunately, without being simulated by real traffic, the traditional simulation models have several problems and their results are doubtable. To deal with this problem, we present a new simulation model for analysis and performance evaluation of the OBS network, which uses prefetched IP traffic to be data source of the OBS network model. The prefetched IP traffic can be considered as real IP source of the OBS edge node and the OBS network model has the same clock rate with a real OBS system. So it's easy to conclude that this model is closer to the real OBS system than the traditional ones. The simulation results also indicate that this model is more accurate to evaluate the performance of the OBS network system and the results of this model are closer to the actual situation.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenhua Huang, Du Xu, and Wen Lei "Switching performance of OBS network model under prefetched real traffic", Proc. SPIE 6021, Optical Transmission, Switching, and Subsystems III, 602118 (8 December 2005); https://doi.org/10.1117/12.636216
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