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

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2 Author(s)
Young-Keun Park ; University of Minnesota, USA ; Gyungho Lee

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.

Published in:

Parallel Processing, 1994. Vol. 1. ICPP 1994. International Conference on  (Volume:1 )

Date of Conference:

15-19 Aug. 1994