Performance Modeling, Loss Networks, and Statistical Multiplexing
Mazumdar, Ravi Rasendra 1955-
Performance Modeling, Loss Networks, and Statistical Multiplexing by Ravi Mazumdar - 1st edition 2010 - 1 recurso en línea (IV, 151 páginas) - Synthesis Lectures on Learning Networks and Algorithms 2690-4314 .
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.
9783031799808
10.1007/978-3-031-79980-8 doi
Redes informáticas
Multiplexores
TK5105.5 / 2010 EB
Performance Modeling, Loss Networks, and Statistical Multiplexing by Ravi Mazumdar - 1st edition 2010 - 1 recurso en línea (IV, 151 páginas) - Synthesis Lectures on Learning Networks and Algorithms 2690-4314 .
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.
9783031799808
10.1007/978-3-031-79980-8 doi
Redes informáticas
Multiplexores
TK5105.5 / 2010 EB