Network Modeling and Simulation A Practical Perspective
by Guizani, Mohsen; Rayes, Ammar; Khan, Bilal; Al-Fuqaha, AlaEdition: 1st
Format: Hardcover
Pub. Date: 2010-03-22
Publisher(s): Wiley-Interscience
Other versions by this Author
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Summary
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.
Author Biography
Dr. Guizani is currently a Full Professor and the Chair of the Computer Science Department at Western Michigan University.
Mr. Qadan is the General Manager of Equinox International. He worked and served as a Senior Technical Director for OPNET Technologies (leading modelling and simulation vendor) between 2002 and 2005.
Table of Contents
| 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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