共享ATM缓冲区的神经网络控制

6th Seminar on Neural Network Applications in Electrical Engineering Pub Date : 2002-12-10 DOI:10.1109/NEUREL.2002.1057978

I. Reljin, B. Reljin

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引用次数: 0

摘要

假设在突发输入流量的ATM节点上存在共享缓冲区，提出了一种新的竞争性神经网络缓冲区管理算法。该算法是前一算法的扩展版本，基于输入预缓冲区的解决方案。在这种情况下，与轮循控制相比，所获得的单元损失率要低得多。输出流的到达间隔时间也考虑了分形/多重分形分析。

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Neural network control of shared ATM buffer

Assuming the shared buffer in ATM node with bursty input traffic, we have derived a new competitive neural network algorithm for buffer management. The algorithm is an extended version of the previous one, based on input prebuffers solution. The cell loss rate obtained is considerably lower comparing to the round-robin control in such a case. The interarrival times of output streams are considered by fractal/multifractal analysis, as well.

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6th Seminar on Neural Network Applications in Electrical Engineering

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