Implementation of neural network-controlled Banyan network with input-output-queueing

Author

Nan, Hua ; Liu, Zemin ; Zhou, Zheng ; Lu, Feng

Author_Institution

Beijing Univ. of Posts & Telecommun., China

Volume

4

fYear

1997

fDate

9-12 Jun 1997

Firstpage

2777

Abstract

The Banyan network is a kind of multistage interconnection networks (MINs), and the most popular to be used as a basic building block in ATM switch fabric designs. The neural networks scheduling of MINs has been proposed in some papers, but its hardware implementation is complicated. In this paper we propose a high throughput ATM switch which consists of neural network controlled Banyan network with input-output-queueing, and give a method of hardware implementation. Its neural network controller is very simple

Keywords

B-ISDN; Hopfield neural nets; asynchronous transfer mode; electronic switching systems; multistage interconnection networks; queueing theory; scheduling; telecommunication computing; telecommunication control; ATM switch fabric designs; ESS; MIN; high throughput ATM switch; input-output-queueing; multistage interconnection networks; neural network controller; neural network-controlled Banyan network; neural networks scheduling; Asynchronous transfer mode; B-ISDN; Communication system control; Hopfield neural networks; Multiprocessor interconnection networks; Neural networks; Optimal scheduling; Sorting; Switches; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.612901

Filename

612901