Performance analysis of multistage switching networks

A new method for performance analysis of multistage interconnection networks is presented. Using the idea of a generalized traffic source, it overcomes the problems and limitations encountered in the existing methods and can capture a larger variety of switching networks. A higher flexibility of thi...

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1. Verfasser:	Hulicki, Zbigniew
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Markov processes MIN scalable router switch fabric (FoC) Switches switching networks
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creator	Hulicki, Zbigniew
description	A new method for performance analysis of multistage interconnection networks is presented. Using the idea of a generalized traffic source, it overcomes the problems and limitations encountered in the existing methods and can capture a larger variety of switching networks. A higher flexibility of this method to consider diverse traffic patterns is also reported. The method is simple yet powerful enough to help designers to find the optimal structure of switching network for building a scalable router.
doi_str_mv	10.1109/ATNAC.2013.6705356
format	Conference Proceeding
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language	eng
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Artificial neural networks Markov processes MIN scalable router switch fabric (FoC) Switches switching networks
title	Performance analysis of multistage switching networks
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