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Performance modeling, loss networks, and statistical multiplexing

This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of understanding the phenomenon of statistical multiplexing. The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology...

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Detalles Bibliográficos
Autor principal: Mazumdar, Ravi
Lenguaje:eng
Publicado: Morgan & Claypool Publ. 2009
Materias:
Acceso en línea:http://cds.cern.ch/record/2104645
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author Mazumdar, Ravi
author_facet Mazumdar, Ravi
author_sort Mazumdar, Ravi
collection CERN
description This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of understanding the phenomenon of statistical multiplexing. The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in performance measures. Also presented are recent ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. I
id cern-2104645
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2009
publisher Morgan & Claypool Publ.
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spelling cern-21046452021-04-21T20:02:34Zhttp://cds.cern.ch/record/2104645engMazumdar, RaviPerformance modeling, loss networks, and statistical multiplexingEngineeringThis monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of understanding the phenomenon of statistical multiplexing. The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in performance measures. Also presented are recent ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. IMorgan & Claypool Publ.oai:cds.cern.ch:21046452009
spellingShingle Engineering
Mazumdar, Ravi
Performance modeling, loss networks, and statistical multiplexing
title Performance modeling, loss networks, and statistical multiplexing
title_full Performance modeling, loss networks, and statistical multiplexing
title_fullStr Performance modeling, loss networks, and statistical multiplexing
title_full_unstemmed Performance modeling, loss networks, and statistical multiplexing
title_short Performance modeling, loss networks, and statistical multiplexing
title_sort performance modeling, loss networks, and statistical multiplexing
topic Engineering
url http://cds.cern.ch/record/2104645
work_keys_str_mv AT mazumdarravi performancemodelinglossnetworksandstatisticalmultiplexing