This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of introducing an appropriate mathematical framework for modeling and analysis as well as understanding the phenomenon of statistical multiplexing. The models, techniques, and results presented form the core of traffic engineering methods used to design, control and allocate resources in communication networks.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 computing performance measures. The monograph also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to stochastic insensitivity are discussed. Also presented are 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 discussion of accurate approximations for large networks.
Product Identifiers
Publisher
Morgan & Claypool Publishers
ISBN-13
9781627051729
eBay Product ID (ePID)
189903686
Product Key Features
Author
Ravi R. Mazumdar
Publication Name
Performance Modeling, Stochastic Networks, and Statistical Multiplexing
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2013
Type
Textbook
Number of Pages
211 Pages
Dimensions
Item Height
235mm
Item Width
191mm
Item Weight
407g
Additional Product Features
Title_Author
Ravi R. Mazumdar
Series Title
Synthesis Lectures on Communication Networks
Country/Region of Manufacture
United States
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