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Book Cover
E-book
Author Dobrescu, Radu

Title Large Scale Networks : Modeling and Simulation
Published Milton : CRC Press, 2016

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Description 1 online resource (302 pages)
Contents Cover ; Half Title ; Title Page ; Copyright Page ; Table of Contents ; Preface ; Authors ; Chapter 1: State of the art and trends in information networks modeling; 1.1 Self-similarity and fractals in traffic modeling ; 1.1.1 Building of a framework ; 1.1.2 Mathematical background of self-similar processes
1.1.2.1 Stable distributions and semistable processes 1.1.2.2 First empirical processes with power-law statistics ; 1.1.2.3 From semistability to self-similarity ; 1.1.2.4 Self-similarity versus long-range dependence ; 1.1.2.5 Self-similarity discovered in network traffic
1.2 Models of complex networks 1.3 Scale-free networks ; 1.3.1 Basic properties of SFNs ; 1.3.2 Distances and bounds in SFN ; 1.4 Current trends in traffic flow and complex networks modeling ; Chapter 2: Flow traffic models; 2.1 Background in traffic modeling
2.1.1 Definition of the informational traffic 2.1.2 Internet teletraffic modeling ; 2.1.2.1 Introduction in teletraffic theory ; 2.1.2.2 Basic concepts of teletraffic theory ; 2.1.2.3 Teletraffic techniques ; 2.1.3 Internet teletraffic engineering ; 2.1.3.1 Big bandwidth philosophy
2.1.3.2 Managed bandwidth philosophy 2.1.3.3 Open-loop control of stream traffic ; 2.1.3.4 Closed-loop control of elastic traffic ; 2.1.4 Internet traffic times series modeling ; 2.2 Renewal traffic models ; 2.2.1 Poisson processes ; 2.2.2 Bernoulli processes
Summary This book offers a rigorous analysis of the achievements in the field of traffic control in large networks, oriented on two main aspects: the self-similarity in traffic behaviour and the scale-free characteristic of a complex network. Additionally, the authors propose a new insight in understanding the inner nature of things, and the cause-and-effect based on the identification of relationships and behaviours within a model, which is based on the study of the influence of the topological characteristics of a network upon the traffic behaviour. The effects of this influence are then discussed in order to find new solutions for traffic monitoring and diagnosis and also for traffic anomalies prediction. Although these concepts are illustrated using highly accurate, highly aggregated packet traces collected on backbone Internet links, the results of the analysis can be applied for any complex network whose traffic processes exhibit asymptotic self-similarity, perceived as an adaptability of traffic in networks. However, the problem with self-similar models is that they are computationally complex. Their fitting procedure is very time-consuming, while their parameters cannot be estimated based on the on-line measurements. In this aim, the main objective of this book is to discuss the problem of traffic prediction in the presence of self-similarity and particularly to offer a possibility to forecast future traffic variations and to predict network performance as precisely as possible, based on the measured traffic history
Notes 2.2.3 Phase-type renewal processes
Bibliography Includes bibliographical references and indexes
Notes Print version record
Subject Network analysis (Planning)
Simulation methods.
simulation methods.
BUSINESS & ECONOMICS -- Industrial Management.
BUSINESS & ECONOMICS -- Management.
BUSINESS & ECONOMICS -- Management Science.
BUSINESS & ECONOMICS -- Organizational Behavior.
Network analysis (Planning)
Simulation methods
Form Electronic book
Author Ionescu, Florin
LC no. 2017287110
ISBN 9781498750189
1498750184
9781315351391
1315351390