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

K J Symington1, A J Waddie, M R Taghizadeh

  • 1Dept. of Phys., Heriot-Watt Univ., Edinburgh, UK.

IEEE Transactions on Neural Networks
|February 2, 2008
PubMed
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This study introduces a novel optical neural network for packet switch controllers, improving network performance and scalability through a discrete algorithm. Simulations demonstrate enhanced efficiency and throughput for future network technologies.

Area of Science:

  • Computer Engineering
  • Optical Computing
  • Artificial Intelligence

Background:

  • Packet switch controllers are crucial for network performance.
  • Existing architectures face scalability challenges.
  • Optical neural networks offer potential for high-speed processing.

Purpose of the Study:

  • To investigate a novel architecture combining an optical neural network with a discrete algorithm for packet switch control.
  • To evaluate the performance and scalability improvements of this integrated system.
  • To determine the system's limitations and maximum potential throughput.

Main Methods:

  • Experimental implementation of an optically interconnected neural network.
  • Simulation of a packet switch controller utilizing the neural network.

Related Experiment Videos

  • Comparison of continuous versus discrete algorithms for scheduling decisions.

    • Main Results:

    • The discrete algorithm significantly improved network performance and scalability compared to a continuous approach.
    • The optical neural network effectively handled scheduling decisions based on packet requests and priorities.
    • Simulations provided insights into the system's operational boundaries.

    Conclusions:

    • The novel architecture and discrete algorithm offer a promising solution for high-performance packet switching.
    • The system demonstrates enhanced scalability and throughput potential.
    • Further research can optimize performance based on current technological constraints.