Fundamentals of Performance Evaluation of

This book presents all techniques of performance evaluation of computers, networks, and telecommunications in a balanced manner. It is unique in that no other book covers all of the techniques, nor do they treat computer and telecommunications systems as inseparable issues, which the author does here. This book fills a gap by providing the only singular, all-encompassing textbook on the subject.

Professor Mohammad S. Obaidat is an internationally well-known academic/researcher/scientist. He received his Ph.D. and M. S. degrees in Computer Engineering with a minor in Computer Science from the Ohio State University, Columbus, Ohio, USA. Dr. Obaidat is currently a tenured full Professor of Computer Science at Monmouth University, NJ, USA. Among his previous positions are Chair of the Department of Computer Science and Director of the Graduate Program at Monmouth University and a faculty member at the City University of New York. He has received extensive research funding and has published over two hundred and ten (210) refereed technical articles in refereed scholarly journals and proceedings of refereed international conferences. He is the co-author of the book entitled, "Wireless Networks" to be published by Wiley in August 2002.?Noureddine Boudriga is a professor at the School of Telecommunications at Catharge University in Tunis, Tunisia.

Preface	p. xiii
Introduction and Basic Concepts	p. 1
Background	p. 2
Performance Evaluation Viewpoints and Concepts	p. 3
Goals of Performance Evaluation	p. 5
Applications of Performance Evaluation	p. 6
Techniques	p. 7
Metrics of Performance	p. 8
Workload Characterization and Benchmarking	p. 10
Summary	p. 18
References	p. 19
Exercises	p. 20
Probability Theory Review	p. 21
Basic Concepts on Probability Theory	p. 22
Elementary Sampling	p. 26
Random Variables	p. 29
Sums of Variables	p. 38
Regression Models	p. 40
Important Density and Distribution Functions	p. 47
Markov Processes	p. 50
Limits	p. 54
Comparing Systems using Sample Data	p. 57
Summary	p. 62
References	p. 62
Exercises	p. 63
Measurement/Testing Technique	p. 66
Measurement Strategies	p. 66
Event Tracing	p. 67
Monitors	p. 70
Program Optimizers	p. 73
Accounting Logs	p. 74
Summary	p. 75
References	p. 75
Exercises	p. 76
Benchmarking and Capacity Planning	p. 78
Introduction	p. 79
Types of Benchmark Programs	p. 80
Benchmark Examples	p. 83
Frequent Mistakes and Games in Benchmarking	p. 96
Procedures of Capacity Planning and Related Main Problems	p. 100
Capacity Planning for Web Services	p. 102
Summary	p. 108
References	p. 100
Exercises	p. 112
Data Representation and Advanced Topics On Validation Modeling	p. 113
Data Representation	p. 114
Measurements	p. 118
Program Profiling and Outlining	p. 123
State Machine Models	p. 127
Petri Net-Based Modeling	p. 135
Protocol Validation	p. 143
Summary	p. 147
References	p. 147
Exercises	p. 148
Basics of Queueing Theory	p. 152
Queue Models	p. 152
Queue Parameters	p. 157
Little's Law	p. 162
Priority Management	p. 167
Analysis of M/M/l Systems	p. 170
The M/M/M Queue	p. 176
Other Queues	p. 177
Queueing Models with Insensitive Length Distribution	p. 184
Summary	p. 186
References	p. 186
Exercises	p. 187
Queueing Networks	p. 190
Fundamentals of Queueing Networks	p. 190
Model Inputs and Outputs in Queueing Networks	p. 195
Open Networks	p. 198
Closed Queueing Networks	p. 204
Product Form Networks	p. 209
Mean Value Analysis	p. 215
Analysis Using Flow Equivalent Servers	p. 218
Summary	p. 220
References	p. 220
Exercises	p. 221
Operational and Mean Value Analysis	p. 226
Operational Laws	p. 226
Little's Formula	p. 231
Bottleneck Analysis	p. 236
Standard MVA	p. 239
Approximation of MVA	p. 244
Bounding Analysis	p. 248
Case Study: A Circuit Switching System	p. 255
Summary	p. 259
References	p. 259
Exercises	p. 260
Introduction to Simulation Technique	p. 265
Introduction	p. 265
Types of Simulation	p. 275
Some Terminology	p. 279
Random-Number-Generation Techniques	p. 280
Survey of Commonly Used Random Number Generators	p. 291
Seed Selection	p. 292
Random Variate Generation	p. 294
Testing of Random Number Sequences	p. 299
Summary	p. 307
References	p. 308
Exercises	p. 310
Commonly Used Distributions in Simulation and Their Applications	p. 312
Exponential Distribution	p. 313
Poisson Distribution	p. 315
Uniform Distribution	p. 318
Normal Distribution	p. 319
Weibull Distribution	p. 326
Pareto Distribution	p. 327
Geometric Distribution	p. 330
Gamma distribution	p. 331
Erlang Distribution	p. 334
Beta Distribution	p. 337
Binomial Distribution	p. 338
Chi-Square Distribution	p. 342
Student's t Distribution	p. 345
Examples of Applications	p. 346
Summary	p. 349
References	p. 349
Exercises	p. 350
Analysis of Simulation Results	p. 353
Introduction	p. 353
Fundamental Approaches	p. 355
Verification Techniques	p. 358
Validation Techniques	p. 362
Verification and Validation in Distributed Environments	p. 365
Transient Elimination	p. 369
Stopping Principles for Simulations	p. 372
Accreditation	p. 373
Summary	p. 374
References	p. 374
Exercises	p. 375
Simulation Software and Case Studies	p. 377
Introduction	p. 378
Selection of Simulation Software	p. 378
General-Purpose Programming Languages	p. 379
Simulation Languages	p. 381
Simulation Software Packages	p. 398
Comparing Simulation Tools and Languages	p. 417
Case Studies on Simulation of Computer and Telecommunication Systems	p. 418
Summary	p. 428
References	p. 429
Exercises	p. 432
Table of Standard Normal (Z) Distribution	p. 434
Commonly Used Normal Quantiles	p. 436
Quantiles of Unit Normal Distribution	p. 437
Quantiles of Student's T-Distribution With V Degrees of Freedom	p. 439
Index	p. 441
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Fundamentals of Performance Evaluation of Computer and Telecommunication Systems

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