Téléchargez le livre : Performance Modeling, Loss Networks, and Statistical Multiplexing

Performance Modeling, Loss Networks, and Statistical Multiplexing

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Paru le : 2022-11-10

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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Description du livre

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

À propos

Auteur
Ravi Mazumdar
Éditeur
Springer
Collection
Synthesis Lectures on Learning, Networks, and Algorithms
Parution
2022-11-10
Pages
151 pages
EAN papier
9783031799792

Auteur(s) du livre


Defaut-Illustration Ravi Mazumdar

Caractéristiques détaillées - droits

EAN PDF
9783031799808
Prix
99,06 €
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
1587 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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