DocumentCode :
3476496
Title :
An neural network method ATM multicast switch
Author :
Nan, Hua ; Liu, Zemin
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
Volume :
2
fYear :
1996
fDate :
18-22 Nov 1996
Firstpage :
845
Abstract :
A new method of neural network scheduling ATM multicast switch is given. A number of neural network methods have been proposed in some papers, but the neural network energy function is complicated. The proposed method is very simple, and its neural network is easy to implement. We give a neural network scheduling algorithm and energy function, and an implementation of the neural network controller. Finally, we compare its performance with that of the cyclic-priority input access method. Our simulation results show that the proposed method has a delay-throughput performance advantage over the cyclic-priority approach, and it is very efficient
Keywords :
B-ISDN; Hopfield neural nets; asynchronous transfer mode; delays; packet switching; scheduling; telecommunication channels; telecommunication computing; ATM multicast switch; B-ISDN; Hopfield neural network; cyclic-priority input access method; delay-throughput performance; neural network controller; neural network energy function; neural network method; neural network scheduling; neural network scheduling algorithm; simulation results; Asynchronous transfer mode; B-ISDN; Neural networks; Optimal scheduling; Scheduling algorithm; Switches; Telecommunication switching; Telecommunication traffic; Throughput; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
Type :
conf
DOI :
10.1109/GLOCOM.1996.585986
Filename :
585986
Link To Document :
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