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Performance Modeling, Loss Networks, and Statistical Multiplexing / by Ravi Mazumdar

By: Mazumdar, Ravi Rasendra, (1955-), autor
Material type: materialTypeLabelE-bookSeries: (Synthesis Lectures on Learning Networks and Algorithms, 2690-4314).Publisher: Cham : Springer International Publishing, 2010Edition: 1st edition 2010.Description: 1 recurso en línea (IV, 151 páginas).ISBN: 9783031799808.Subject: Redes informáticas | MultiplexoresOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction to Traffic Models and Analysis -- Queues and Performance Analysis -- Loss Models for Networks -- Statistical Multiplexing.
Summary: 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. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed presentation of loss network models and accurate approximations for large networks. Table of Contents: Introduction to Traffic Models and Analysis / Queues and Performance Analysis / Loss Models for Networks / Statistical Multiplexing.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK5105.5 2010 EB (Browse shelf(Opens below)) Acceso electrónico eBook.01112320
Total holds: 0

Introduction to Traffic Models and Analysis -- Queues and Performance Analysis -- Loss Models for Networks -- 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 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. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed presentation of loss network models and accurate approximations for large networks. Table of Contents: Introduction to Traffic Models and Analysis / Queues and Performance Analysis / Loss Models for Networks / Statistical Multiplexing.

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