Network Modeling and Simulation A Practical Perspective

, by Guizani, Mohsen; Rayes, Ammar; Khan, Bilal; Al-Fuqaha, Ala

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ISBN: 9780470035870 | 0470035870
Cover: Hardcover
Copyright: 3/22/2010

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This book introduces the basic concepts behind using Modelling and simulation in solving real-life problems. It addresses some of the practical limitations that are usually faced by developers when Modelling complex or large-scale systems. Some of the ways to alleviate these problems are looked at and discussed. Followed by an industry-standard Modelling methodology that can be applied in steps to tackle any Modelling problem in practice.The book introduces the OPNET software product and its different modules, and some practical examples where it has been used to conduct practical studies in network analysis and design.

Preface
Acknowledgements
Basic Concepts and Techniques
Why Is Simulation Important?
What Is a Model?
Performance Evaluation Techniques
Development of Systems Simulation
Summary
Recommended Reading
Designing and Implementing a Discrete-Event Simulation Framework
The Scheduler
The Simulation Entities
The Events
Tutorial 1: Hello World
Tutorial 2: Two-Node Hello Protocol
Tutorial 3: Two-Node Hello through a Link
Tutorial 4: Two-Node Hello through a Lossy Link
Summary
Recommended Reading
Honeypot Communities: A Case Study with the Discrete-Event Simulation Framework
Background
System Architecture
Simulation
Modeling
Simulation Execution
Output Analysis
Summary
Recommended Reading
Monte Carlo Simulation
Characteristics of Monte Carlo Simulations
The Monte Carlo Algorithm
Merits and Drawbacks
Monte Carlo Simulation for the Electric Car Charging Station
Summary
Recommended Reading
Network Modeling
Simulation of Networks
The Network Modeling and Simulation Process
Developing Models
Network Simulation Packages
OPNET: A Network Simulation Package
Summary
Recommended Reading
Designing and Implementing CASiNO: A Network Simulation Framework
Overview
Conduits
Visitors
The Conduit Repository
Behaviors and Actors
Tutorial 1: Terminals
Tutorial 2: States
Tutorial 3: Making Visitors
Tutorial 4: Muxes
Tutorial 5: Factories
Summary
Recommended Reading
Statistical Distributions and Random Number Generation
Introduction to Statistical Distributions
Discrete Distributions
Continuous Distributions
Augmenting CASiNO with Random Variate Generators
Random Number Generation
Frequency and Correlation Tests
Random Variate Generation
Summary
Recommended Reading
Network Simulation Elements: A Case Study Using CASiNO
Making a Poisson Source of Packets
Making a Protocol for Packet Processing
Bounding Protocol Resources
Making a Round-Robin (De)multiplexer
Dynamically Instantiating Protocols
Putting It All Together
Summary
Queuing Theory
Introduction to Stochastic Processes
Discrete-Time Markov Chains
Continuous-Time Markov Chains
Basic Properties of Markov Chains
ChapmanKolmogorov Equation
BirthDeath Process
Littl's Theorem
Delay on a Link
Standard Queuing Notation
The M/M/1 Queue
The M/M/m
Queue
The M/M/1/b
Queue
The M/M/m/m
Queue
Summary
Recommended Reading
Input Modeling and Output Analysis
Data Collection
Identifying the Distribution
Estimation of Parameters for Univariate Distributions
Goodness-of-Fit Tests
Multivariate Distributions
Selecting Distributions without Data
Output Analysis
Summary
Recommended Reading
Modeling Network Traffic
Introduction
Network Traffic Models
Traffic Models for Mobile Networks
Global Optimization Techniques
Particle Swarm Optimization
Optimization in Mathematics
Summary
Recommended Reading
Index
Table of Contents provided by Publisher. All Rights Reserved.

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Network Modeling and Simulation A Practical Perspective

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Table of Contents

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