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提出了一种基于Hopfield神经网络(HNN) 信元调度的多重输入队列ATM交换结构(ASF)，消除 了队头(HOL)阻塞造成的性能恶化.计算机仿真结果显示，与单先入先出（FIFO）队列和开窗 输入缓冲ASF相比，该方案大大提高了吞吐率并减少了信元时延.
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关键词:
- Hopfield神经网络 /
- ATM交换结构 /
- 多重输入队列
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.-
Keywords:
- Hopfield neural network /
- ATM switching fabric /
- multiple input queues
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中国物理学会期刊
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