Publication detail

Modeling of Network Switch Controlled by Neural Network

POLÍVKA, M. ŠKORPIL, V.

Original Title

Modeling of Network Switch Controlled by Neural Network

English Title

Modeling of Network Switch Controlled by Neural Network

Type

conference paper

Language

en

Original Abstract

Conventional switches are usually controlled by a manually defined algorithm implemented in the network processor. The conventional methods of control are fast, reliable and transparent. The article deals with alternative method of switch control – based on a neural network, focused on Quality of Service. The article describes the designed model, simulation and summarizes the results.

English abstract

Conventional switches are usually controlled by a manually defined algorithm implemented in the network processor. The conventional methods of control are fast, reliable and transparent. The article deals with alternative method of switch control – based on a neural network, focused on Quality of Service. The article describes the designed model, simulation and summarizes the results.

Keywords

MATLAB, modeling, neural network, switch, switching algorithm.

RIV year

2012

Released

04.07.2012

ISBN

978-1-4673-1118-2

Book

2012 35th International Conference on Telecommunications and Signal Processing (TSP) (id 20316)

Pages from

165

Pages to

168

Pages count

5

Documents

BibTex


@inproceedings{BUT92832,
  author="Michal {Polívka} and Vladislav {Škorpil}",
  title="Modeling of Network Switch Controlled by Neural Network",
  annote="Conventional switches are usually controlled by a manually defined algorithm implemented in the network processor. The conventional methods of control are fast, reliable and transparent. The article deals with alternative method of switch control – based on a neural network, focused on Quality of Service. The article describes the designed model, simulation and summarizes the results.",
  booktitle="2012 35th International Conference on Telecommunications and Signal Processing (TSP) (id 20316)",
  chapter="92832",
  howpublished="online",
  year="2012",
  month="july",
  pages="165--168",
  type="conference paper"
}