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Qadan, Osama

Network Modelling and Simulation

Concepts and Applications

€ 102.95

Network Modeling and Simulation: Concepts and Applications introduces the basic concepts behind using modeling and simulation in solving real-life problems. It addresses some


Taal / Language : English

Inhoudsopgave:
Preface

Acknowledgements

1 Basic Concepts and Techniques

1.1 Why Is Simulation Important?

1.2 What Is a Model?

1.3 Performance Evaluation Techniques

1.4 Development of Systems Simulation

1.5 Summary

Recommended Reading

2 Designing and Implementing a Discrete Event Simulation Framework

2.1 The Scheduler

2.2 The Simulation Entities

2.3 The Events

2.4 Tutorial 1: Hello World

2.5 Tutorial 2: Two Node Hello Protocol

2.6 Tutorial 3: Two Node Hello through a Link

2.7 Tutorial 4: Two Node Hello through a Lossy Link

2.8 Summary

Recommended Reading

3 Honeypot Communities: A Case Study with the Discrete Event Simulation Framework

3.1 Background

3.2 System Architecture

3.3 Simulation Modeling

3.4 Simulation Execution

3.5 Output Analysis

3.6 Summary

Recommended Reading

4 Monte Carlo Simulation

4.1 Characteristics of Monte Carlo Simulations

4.2 The Monte Carlo Algorithm

4.3 Merits and Drawbacks

4.4 Monte Carlo Simulation for the Electric Car Charging Station

4.5 Summary

Recommended Reading

5 Network Modeling

5.1 Simulation of Networks

5.2 The Network Modeling and Simulation Process

5.3 Developing Models

5.4 Network Simulation Packages

5.5 OPNET: A Network Simulation Package

5.6 Summary

Recommended Reading

6 Designing and Implementing CASiNO: A Network Simulation Framework

6.1 Overview

6.2 Conduits

6.3 Visitors

6.4 The Conduit Repository

6.5 Behaviors and Actors

6.6 Tutorial 1: Terminals

6.7 Tutorial 2: States

6.8 Tutorial 3: Making Visitors

6.9 Tutorial 4: Muxes

6.10 Tutorial 5: Factories

6.11 Summary

Recommended Reading

7 Statistical Distributions and Random Number Generation

7.1 Introduction to Statistical Distributions

7.2 Discrete Distributions

7.3 Continuous Distributions

7.4 Augmenting CASiNO with Random Variate Generators

7.5 Random Number Generation

7.6 Frequency and Correlation Tests

7.7 Random Variate Generation

7.8 Summary

Recommended Reading

8 Network Simulation Elements: A Case Study Using CASiNO

8.1 Making a Poisson Source of Packets

8.2 Making a Protocol for Packet Processing

8.3 Bounding Protocol Resources

8.4 Making a Round Robin (De)multiplexer

8.5 Dynamically Instantiating Protocols

8.6 Putting It All Together

8.7 Summary

9 Queuing Theory

9.1 Introduction to Stochastic Processes

9.2 Discrete Time Markov Chains

9.3 Continuous Time Markov Chains

9.4 Basic Properties of Markov Chains

9.5 Chapman Kolmogorov Equation

9.6 Birth Death Process

9.7 Little s Theorem

9.8 Delay on a Link

9.9 Standard Queuing Notation

9.10 The M/M/1 Queue

9.11 The M/M/m Queue

9.12 The M/M/1/b Queue

9.13 The M/M/m/m Queue

9.14 Summary

Recommended Reading

10 Input Modeling and Output Analysis

10.1 Data Collection

10.2 Identifying the Distribution

10.3 Estimation of Parameters for Univariate Distributions

10.4 Goodness of Fit Tests

10.5 Multivariate Distributions

10.6 Selecting Distributions without Data

10.7 Output Analysis

10.8 Summary

Recommended Reading

11 Modeling Network Traffic

11.1 Introduction

11.2 Network Traffic Models

11.3 Traffic Models for Mobile Networks

11.4 Global Optimization Techniques

11.5 Particle Swarm Optimization

11.6 Optimization in Mathematics

11.7 Summary

Recommended Reading

Index
Extra informatie: 
Hardback
304 pagina's
Januari 2010
713 gram
255 x 177 x 27 mm
Wiley-Blackwell us

Levertijd: 5 tot 11 werkdagen