Hopfield neural network based controller for a crossbar ATM switch

Authors

  • Ricardo Lent Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería. Lima, Perú.
  • Peter Yamakawa Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería. Lima, Perú.

DOI:

https://doi.org/10.21754/tecnia.v9i1.438

Abstract

This article describes an enhanced version of a Hopfield neural network originally proposed by Marrakchi and Troudet (1989) for large crossbar switches. We have adapted this network to control the internal flow of cells in a modern ATM crossbar switch with FIFO buffers at the input ports. The proposed model, under Self-Similar input traffic, improves the general performance of the switch.

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References

[1] A. Marrakchi / T. Troudet, A Neural Net Arbitrator for Large Crossbar Packet-Switches. IEEE Transactions on Circuits and Systems, p1039-1041, Jul 1989.

[2] Ellen E. Witte, A Quantitative Comparison of Architectures for ATM Switching Systems. Oct 1991.

[3] Raif O. Onvural, Asynchronous Transfer Mode Networks: Performance Issues. Artech House 1994.

[4] Michael G. Hluchyj / Mark J. Karol, Queueing in High-Performance Packet Switching. IEEE JSAC, p1587-1597, Dec 1998.

[5] Surya Kiran Pappu, Performance Analysis of Input and Output Queuing Strategies of an ATM Switch Under Self-Similar Traffic. Clemson University M.Sc. thesis, Aug 1996.

[6] Jacek M. Zurada, Introduction to Artificial Neural Systems. ISBN 0-314-93391-3.

[7] José Antao Beltran / Jacques Philippe Sauve / William Ferreira Giozza, Redes Locales de Computadoras. Protocolos de Alto Nivel y Evaluación de Prestaciones, ISBN 0-07-450140-2.

[8] Victor S. Frost / William Wood Larue Jr. / K. Sam Shanmugan, Efficient Techniques for the Simulation of Computer Communications Networks, IEEE JSAC. Jan 1988.

[9] Will E. Leland, On the Self-Similar Nature of Ethernet Traffic (Extended Version), IEEE/ACM Transactions on Networking. Feb 1994.

[10] Nicolas D. Georganas, Self-Similar (Fractal) Traffic in ATM Networks.

[11] Ricardo Lent / Peter Yamakawa, Naturaleza Fractal del tráfico Internet. Tecnia, Julio 1998. Vol8 Nro 1.

[12] Vern Paxson, Fast Approximation of Self-Similar Network Traffic. Lawrence Berkeley Laboratory, University of California, Apr 1995.

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Published

1999-06-01

How to Cite

[1]
R. Lent and P. Yamakawa, “Hopfield neural network based controller for a crossbar ATM switch”, TEC, vol. 9, no. 1, pp. 37–42, Jun. 1999.

Issue

Vol. 9 No. 1 (1999)

Section

Articles

License

Copyright (c) 1999 TECNIA

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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