A high throughput packet-switching network with neural network controlled bypass queueing and multiplexing

Young Keun Park, Kyung Ho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Parallel Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume1
ISBN (Print)0849324939, 9780849324932
DOIs
Publication statusPublished - 1994
Externally publishedYes
Event23rd International Conference on Parallel Processing, ICPP 1994 - Raleigh, NC, United States
Duration: 1994 Aug 151994 Aug 19

Other

Other23rd International Conference on Parallel Processing, ICPP 1994
CountryUnited States
CityRaleigh, NC
Period94/8/1594/8/19

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ASJC Scopus subject areas

  • Software
  • Mathematics(all)
  • Hardware and Architecture

Cite this

Park, Y. K., & Lee, K. H. (1994). A high throughput packet-switching network with neural network controlled bypass queueing and multiplexing. In Proceedings of the International Conference on Parallel Processing (Vol. 1). [4115683] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPP.1994.31