A High Throughput Packet-Switching Network with Neural Network Controlled Bypass Queueing and Multiplexing

Authors:
Young-Keun Park;Gyungho Lee
Affiliations:
University of Minnesota, USA;University of Minnesota, USA
Venue:
ICPP '94 Proceedings of the 1994 International Conference on Parallel Processing - Volume 01
Year:
1994

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Abstract

This paper proposes a high throughput packet switching network with bypass queues based on a MIN. We improve the switch throughput by partitioning the input buffers into disjoint buffer sets and multiplexing several sets of nonblocking packets within a time slot. A neural network model is presented as a controller for packet scheduling and multiplexing in the switch.