Object-Oriented Discrete-Event Simulation with Java

A Practical Introduction

By: JosÃ© M. Garrido

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Hardcover | 31 October 2001

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276 Pages

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24.13 x 15.88 x 2.54

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Researches and developers of simulation models state that the Java program ming language presents a unique and significant opportunity for important changes in the way we develop simulation models today. The most important characteristics of the Java language that are advantageous for simulation are its multi-threading capabilities, its facilities for executing programs across the Web, and its graphics facilities. It is feasible to develop compatible and reusable simulation components that will facilitate the construction of newer and more complex models. This is possible with Java development environments. Another important trend that begun very recently is web-based simulation, i.e., and the execution of simulation models using Internet browser software. This book introduces the application of the Java programming language in discrete-event simulation. In addition, the fundamental concepts and prac tical simulation techniques for modeling different types of systems to study their general behavior and their performance are introduced. The approaches applied are the process interaction approach to discrete-event simulation and object-oriented modeling. Java is used as the implementation language and UML as the modeling language. The first offers several advantages compared to C++, the most important being: thread handling, graphical user interfaces (QUI) and Web computing. The second language, UML (Unified Modeling Language) is the standard notation used today for modeling systems as a collection of classes, class relationships, objects, and object behavior.

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Published: 19th April 2013

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Introduction to Simulation	p. 1
Introduction	p. 1
Simulation with Java	p. 1
Overview	p. 1
Implementing Simulation Models with Java and Psim-J	p. 3
Systems, Models, and Modeling	p. 4
Categories of Models	p. 5
Conceptual Models	p. 5
Simulation Models	p. 6
General Concepts	p. 6
Designing Simulation Models	p. 8
Implementing Simulation Models	p. 9
Simulation Results	p. 9
Types of Simulation Models	p. 10
Phases in Model Development	p. 11
Performance Measures and Performance Modeling	p. 13
Performance Metrics	p. 13
Workload	p. 14
Additional Performance Concepts	p. 14
Summary	p. 15
Exercises	p. 15
Objects, Classes and UML	p. 17
Introduction	p. 17
Object-Oriented Modeling	p. 17
Conceptual Model	p. 17
Modeling Objects	p. 18
Encapsulation	p. 19
Interfaces	p. 19
Objects and Classes	p. 19
Using UML For Object-Oriented Modeling	p. 20
Use Case Diagrams	p. 21
Static Modeling Diagrams	p. 22
Class Diagrams	p. 22
Associations	p. 23
Multiplicity of the Association	p. 24
Aggregation	p. 24
Generalization and Inheritance	p. 25
Class Inheritance	p. 25
Generalization	p. 25
Dynamic Modeling Diagrams	p. 26
Collaboration Diagrams	p. 26
Sequence Diagrams	p. 27
State Diagrams	p. 27
Concurrency	p. 28
Summary	p. 29
Exercises	p. 30
Relevant Aspects Of The Java Programming Language	p. 31
Introduction	p. 31
Types Of Java Programs	p. 31
Basic Object-Oriented Concepts Of Java	p. 32
Java Classes	p. 32
Java Packages	p. 33
Constructors	p. 33
A Simple Application With Two Classes	p. 34
Dealing With Global Variables	p. 37
Need For Global Variables	p. 37
Global Constants	p. 37
Arrays and Collection Classes	p. 38
Collection Classes	p. 40
Inheritance	p. 40
Base and derived classes	p. 40
Constructors of the Subclasses	p. 42
Abstract Classes	p. 42
Polymorphism	p. 43
Classes and Interfaces	p. 43
Exceptions	p. 44
Java Threads	p. 45
Using Threads	p. 45
Inheriting the Thread Class	p. 46
Other Basic Thread Methods	p. 47
Thread Suspending Itself	p. 48
Implementing the Runnable Interface	p. 48
Interrupting a Thread Object	p. 49
Thread Priorities	p. 51
Simple Thread Synchronization	p. 51
Wait/Notify Mechanism in Threads	p. 52
Summary	p. 53
Exercises	p. 53
Discrete-Event Simulation	p. 55
Introduction	p. 55
Modeling System Behavior	p. 55
Implementation of Discrete-Event Simulation	p. 56
The Time Dimension	p. 57
World Views For Discrete-Event Simulation	p. 58
The Activity World View	p. 59
The Event World View	p. 59
The Process Interaction World View	p. 59
Implementing The Process Worldview	p. 60
Object-Oriented Simulation	p. 62
Software For Discrete-Event Simulation	p. 63
Discrete Event Simulation Packages	p. 64
SimPack and Sim++	p. 64
CSIM	p. 64
ModSim	p. 64
GPSS	p. 65
Simula	p. 65
Simscript	p. 65
GASP	p. 66
SLAM	p. 66
Task Library	p. 66
The Simulation Package and Language, Psim and PsimL	p. 66
Other Simulation Packages	p. 67
Simulation Packages in Java	p. 67
Java version of Psim	p. 67
Other Sources on Simulation Languages, Conferences, and Courses	p. 67
Summary	p. 68
Exercises	p. 69
Simulation With The Process Worldview	p. 71
Introduction	p. 71
Processes and Simulation Models	p. 71
Entities and Objects	p. 71
Single-Server Models	p. 72
A Model For The Car-Wash System	p. 73
The Conceptual Model	p. 73
The Car-Wash Deterministic Model	p. 75
The Car-Wash Stochastic Model	p. 80
Performance and Workload Characterization	p. 84
Implementing The Simulation Model	p. 85
Using Java And Psim-J	p. 85
Java Implementation Of The Car-wash Model	p. 87
Graphical User Interfaces	p. 93
Summary	p. 93
Exercises	p. 95
Models of Multi-Server Systems	p. 97
Introduction	p. 97
Queuing Models	p. 97
Multi-Server Queuing Models	p. 98
The Multi-Server Model of the Car-Wash System	p. 99
Description Of The Server Process	p. 100
Description Of The Customer Process	p. 100
Description Of The Arrivals Process	p. 101
Simulation Results	p. 102
Java Implementation of the Multi-Server Model	p. 105
Multi-Server Models With Multiple Queues	p. 108
Description Of The Server Process	p. 108
Description of the Customer Process	p. 109
Queuing Networks	p. 109
Summary	p. 110
Exercises	p. 111
Multi-Class Queuing Models	p. 113
Introduction	p. 113
Priorities With Single-Server Models	p. 114
Description of the Server Process	p. 114
Description of the Arrivals Process	p. 115
Description of the Car Process	p. 115
Results from the Simulation	p. 116
Implementation Of The Car-Wash Model	p. 120
Multi-Server Models with Priorities	p. 123
Summary	p. 123
Exercises	p. 124
Resources	p. 127
Introduction	p. 127
Resource Manipulation	p. 127
Software Implementation of Resources	p. 128
Model Implementation in Psim-J	p. 130
A Model of a Busy Warehouse	p. 131
Allocating Resources with Priorities	p. 136
Deadlock	p. 136
Summary	p. 137
Exercises	p. 138
Basic Process Cooperation	p. 139
Introduction	p. 139
Producer-Consumer Cooperation	p. 139
Producer and Consumer Objects	p. 140
Implementing Process Cooperation	p. 141
Producer Implementation	p. 141
Consumer Implementation	p. 142
Model Of A Machine Parts-Replacement System	p. 142
Summary	p. 147
Exercises	p. 147
Synchronous Cooperation	p. 149
Introduction	p. 149
Master-Slave Synchronization	p. 149
General Synchronous Cooperation	p. 149
Synchronous Communication	p. 150
Implementing Process Cooperation in Java	p. 151
Model With Synchronous Communication	p. 152
Cooperation with Several Slaves	p. 156
Summary	p. 157
Questions	p. 157
Conditional Waiting	p. 159
Introduction	p. 159
Modeling With Conditional Synchronization	p. 159
Implementation with Java and Psim-J	p. 160
General Approach	p. 160
Implementing Simulation Models	p. 161
A Model Of A Port System	p. 162
Summary	p. 166
Exercises	p. 166
Interrupts	p. 167
Introduction	p. 167
Basic Notion of Interruptions	p. 167
Interrupt Handling	p. 168
Interrupts using Java and Psim-J	p. 169
The Parts-Replacement Model With Interrupts	p. 171
Car-Wash Model with Interrupts	p. 175
Summary	p. 181
Exercises	p. 181
More Simulation Models	p. 183
Introduction	p. 183
Model of a Simple Client-Server System	p. 183
Model of an Ethernet Client-Server System	p. 191
The Ethernet Protocol	p. 191
Network Performance	p. 192
Model Implementation	p. 192
Summary	p. 196
Exercises	p. 196
Basic Probability Theory and Random Numbers	p. 197
Introduction	p. 197
Experiments and Outcomes	p. 197
Long-term Behavior of Systems	p. 198
Overview of Set Theory	p. 198
Probabilities	p. 199
Random Variable and Distribution Functions	p. 199
Expected Values, Variance and Covariance	p. 200
The Geometric distribution	p. 201
The Binomial Distribution	p. 202
The Exponential Distribution	p. 203
The Poisson Distribution	p. 203
The Uniform Distribution	p. 204
The Normal Distribution	p. 204
Stochastic Processes	p. 204
Random Numbers in Simulation Models	p. 205
Markov Models	p. 206
State Dependencies	p. 206
Markov Chains	p. 207
Summary Statistics	p. 208
Comparing Sample Data	p. 209
Summary	p. 210
Questions	p. 211
Overview of Model Verification and Validation	p. 213
Introduction	p. 213
Verification Techniques For Simulation Models	p. 213
Object-Oriented Modeling and Programming	p. 213
Using Traces	p. 214
Graphical Outputs	p. 214
Testing for Verification	p. 214
Validation Techniques For Simulation Models	p. 215
Importance	p. 215
General Validation Approach	p. 215
Black Box Validation	p. 216
White Box Validation	p. 216
Summary	p. 217
A Short Manual For Psim-J	p. 219
Introduction to The Psim-J Library	p. 219
List Of Classes	p. 220
Defining Processes in a Simulation Model	p. 221
The Time Dimension	p. 222
Other Process Methods	p. 222
Starting and Running a Simulation	p. 226
Priority of a Process	p. 226
Process States	p. 227
Scheduling Processes	p. 228
Handling Queues	p. 228
General Description	p. 228
Methods in Class Squeue	p. 228
Members of Class Pqueue	p. 231
Classes for Resources	p. 235
General Description	p. 235
Class Res	p. 235
Relevant Features in the Bin Class	p. 236
Class Waitq	p. 238
The Condq Class	p. 240
Random Number Generation in Psim-J	p. 241
Class Randint	p. 242
Class Erand	p. 243
Class Normal	p. 244
Class Poisson	p. 245
Class Urand	p. 246
Bibliography	p. 247
About the Author	p. 251
Index	p. 253
Table of Contents provided by Syndetics. All Rights Reserved.

Object-Oriented Discrete-Event Simulation with Java

A Practical Introduction

At a Glance

Hardcover

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