DocumentCode :
1696383
Title :
A High Throughput Packet-Switching Network with Neural Network Controlled Bypass Queueing and Multiplexing
Author :
Park, Young-Keun ; Lee, Gyungho
Author_Institution :
University of Minnesota, USA
Volume :
1
fYear :
1994
Firstpage :
9
Lastpage :
12
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.
Keywords :
Multiprocessor interconnection networks; Neural networks; Packet switching; Parallel processing; Routing; Scheduling algorithm; Switches; Throughput; Time division multiplexing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing, 1994. Vol. 1. ICPP 1994. International Conference on
Conference_Location :
North Carolina State University, NC, USA
ISSN :
0190-3918
Print_ISBN :
0-8493-2493-9
Type :
conf
DOI :
10.1109/ICPP.1994.31
Filename :
4115683
Link To Document :
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