高速分组交换机的神经网络控制器

M.M. Ali, H. T. Nguyen
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引用次数: 5

摘要

提出了一种基于神经网络的宽带综合业务数字网(ISDN)高速分组交换机输入接入方案。在这种交换机中,每个输入为每个输出维护一个单独的队列,因此在(n*n)交换机中有n/sup 2/输入队列。使用同步操作,在任何插槽中每个输入和输出最多只能传输一个数据包。确定了使该交换机吞吐量最大化的神经网络,给出了该网络的能量函数、优化参数和连接矩阵。与解析导出的上界和下界的模拟比较表明接近最佳吞吐量。结果表明,该神经网络可以用现有技术实现中等开关尺寸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A neural network controller for a high-speed packet switch
A neural network implementation of an input access scheme in a high-speed packet switch for broadband ISDN (integrated services digital network) is presented. In this switch, each input maintains a separate queue for each of the outputs, thus n/sup 2/ input queues in a (n*n) switch. Using synchronous operation, at most one packet per input and output will be transferred in any slot. A neural network maximizing the throughput of this switch is determined, and the energy function, its optimized parameters, and the connection matrix are given. Comparison of simulations with analytically derived upper and lower bounds shows close to optimal throughput. It is shown that this neural network may be implemented with existing technology for medium switch sizes.<>
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