A multiple input-queued ATM switching fabric based on hopfield neural network cell scheduling
Xiong Tao, Zhang Bian-Li, Chang Sheng-Jiang, Jinyuan Shen, Zhang Yan-Xin, (1)南开大学现代光学研究所,教育部光电信息技术重点实验室,天津 300071; (2)南开大学现代光学研究所,教育部光电信息技术重点实验室,天津 300071;郑州大学,河南省激光与光电信息技术重点实验室,郑州 450052 · Acta Physica Sinica · 2005
A multiple input-queued ATM switching fabrics (ASF) for scheduling cell based on Hopfield neural network (HNN) is proposed. This scheme eliminates degeneration of performance due to head-of-line (HOL) blocking. Simulation results show that, compared with the single first in_first out and window input-queued ASF, the pr oposed approach can greatly improve the throughput and reduce the cell delay.