Performance Modeling, Loss Networks, and Statistical Multiplexing / by Ravi Mazumdar
By: Mazumdar, Ravi Rasendra, autor
Material type:
E-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
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5105.5 2010 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01112320 |
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| TK5105.2 R638 2015 EB Robust Image Authentication in the Presence of Noise | TK5105.5 2007 EB Network Simulation | TK5105.5 2009 EB The Datacenter as a Computer : An Introduction to the Design of Warehouse-Scale Machines | TK5105.5 2010 EB Performance Modeling, Loss Networks, and Statistical Multiplexing | TK5105.5 2010 EB Communication Networks : A Concise Introduction | TK5105.5 2010 EB Path Problems in Networks | TK5105.5 2010 EB Performance Modeling of Communication Networks with Markov Chains |
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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