A neural-network packet switch controller: Scalability, performance, and network optimization

Keith J. Symington, Andrew J. Waddie, Mohammad R. Taghizadeh, John F. Snowdon

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper examines a novel combination of architecture and algorithm for a packet switch controller that incorporates an experimentally implemented optically interconnected neural network. The network performs scheduling decisions based on incoming packet requests and priorities. We show how and why, by means of simulation, the move from a continuous to a discrete algorithm has improved both network performance and scalability. The system's limitations are examined and conclusions drawn as to its maximum scalability and throughput based on today's technologies.

Original languageEnglish
Pages (from-to)28-34
Number of pages7
JournalIEEE Transactions on Neural Networks
Volume14
Issue number1
DOIs
Publication statusPublished - Jan 2003

Keywords

  • Neural networks
  • Optical diffraction
  • Optimization methods
  • Packet switching

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