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

Network Modeling and Simulation (eBook, PDF)

A Practical Perspective

• Format: PDF

Produktbeschreibung

Network Modeling and Simulation is a practical guide to using modeling and simulation to solve real-life problems. The authors give a comprehensive exposition of the core concepts in modeling and simulation, and then systematically address the many practical considerations faced by developers in modeling complex large-scale systems. The authors provide examples from computer and telecommunication networks and use these to illustrate the process of mapping generic simulation concepts to domain-specific problems in different industries and disciplines. Key features: * Provides the tools and strategies needed to build simulation models from the ground up rather than providing solutions to specific problems. * Includes a new simulation tool, CASiNO built by the authors. * Examines the core concepts of systems simulation and modeling. * Presents code examples to illustrate the implementation process of commonly encountered simulation tasks. Offers examples of industry-standard modeling methodology that can be applied in steps to tackle any modeling problem in practice.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 304
• Erscheinungstermin: 9. Januar 2010
• Englisch
• ISBN-13: 9780470515204
• Artikelnr.: 37294368

Autorenporträt

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.

Inhaltsangabe

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