The application of neural network algorithm in ATM buffer management

被引：0
|
作者：
Yin, XH [1 ]
Sun, BL [1 ]
Zhou, HB [1 ]
机构：
[1] Wuhan Univ, Adv Sci & Technol Res Ctr, Wuhan 430072, Peoples R China
来源：
PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES | 2003年
关键词：
Hopfield Neural Network; ATM; buffer management; head-of-line(HOL) blocking;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In ATM switching, cell congestion is caused by the head-of-line (HOL) blocking in cell queuing. In order to alleviate the congestion in cell queuing buffer, HOL should be cleared. In this paper, Hopfield Neural Network (HNN) technology is applied to manage the cells buffers in ATM Switching Fabric (ASF) design. This intelligent algorithm can help to monitor the real-time traffic distribution and efficiently improve the performance of cell switching. Furthermore, with the help of energy function in HNN, the stability of HNN is discussed.
引用
收藏
页码：526 / 529
页数：4
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