基于fuzzy-adaptive-threshold的数据突发组装算法

Burst assembly algorithm based on fuzzy-adaptive-threshold

在对光突发交换网络的数据拥塞模型进行理论分析的基础上,提出了一种新颖的模糊变长门限FAT突发组装算法.由于模糊逻辑控制的引入,使组装算法的灵活性与智能性得到进一步改善.仿真结果表明,与其他组装算法相比,FAT算法在获得低排队延迟、高带宽利用效率的同时,保证了网络的低突发丢弃率,进一步提高了网络的传输性能.

This paper presents a fuzzy-adaptive-threshold （FAT） data burst assembly algorithm after theoretical analysis of data congestion with an optical burst-switching （OBS） network. Because of the adoption of fuzzy logic control, the FAT algorithm achieves better flexibility and intelligence. The simulation results show that, compared with reported results from other assembly algorithms, the transmission performance of networks using the FAT algorithm are enhanced with low burst blocking probability, low edge queuing delay and high utilization.