Mohammed S. Obaidat, Noureddine A. Boudriga

Fundamentals of Performance Evaluation of Computer and Telecommunication Systems

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 480
• Erscheinungstermin: 1. Januar 2010
• Englisch
• Abmessung: 240mm x 161mm x 30mm
• Gewicht: 883g
• ISBN-13: 9780471269830
• ISBN-10: 0471269832
• Artikelnr.: 25932747

Autorenporträt

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.

Inhaltsangabe

1. Introduction and Basic Concepts. 1.1. Background. 1.2. Performance
Evaluation Viewpoints and Concepts. 1.3. Goals of Performance Evaluation.
1.4. Applications of Performance Evaluation. 1.5. Techniques. 1.6. Metrics
of Performance. 1.7. Workload characterization. 1.8. Benchmarking. 1.9.
Summary. Exercises. 2. Probability Theory Review. 2.1 Basic Concepts on
Probability Theory. 2.2 Sample Space and Events. 2.3 Conditional
Probability and Independence. 2.2 Mean and Median use. 2.3 Geometric, and
Harmonic Mean. 2.4 Variance, and Standard Deviation. 2.5 Random Variables.
2.6 Expectation and Variance. 2.7 Density and Distribution Functions. 2.8
Comparing Systems Using Sample Data. 2.9 Regression Models. 2.10 Summary.
Exercises. 3. Measurement/Testing Technique. 3.1. Event and Measurement
Strategies. 3.2. Event Tracing. 3.3. Hardware Monitor. 3.4. Software
Monitors. 3.5. Hybrid Monitors. 3.6. Traffic Issues and Solutions. 3.7.
Accounting Logs. 3.8. Summary. Exercises. 4. Benchmarking and Capacity
Planning. 4.1 Types of Benchmark Programs. 4.2 Common Mistakes in
Benchmarking. 4.3 Example Benchmark Programs. 4.4 Procedures of Capacity
planning. 4.5 Problems in Capacity Planning. 4.6 Summary. Exercises. 5.
Data Representation and Game Ratio. 5.1 Guidelines for Preparing Plots. 5.2
Charts Used for Data Presentation. 5.3 Program Profiling. 5.4 Common
Mistakes in Charts Construction. 5.5 Errors in Experimental Measurements.
5.6 Summary. Exercises. 6. Basics of Queueing Theory. 6.1 Introduction. 6.2
Queueing Modeling Notations. 6.3 Rules for all Queues. 6.4 Single-Queue,
Single (M/M/ 1) System. 6.5. Single-Queue, Multiple Server (M/M/c) System.
6.6 Other Queues. 6.7. Little's Law. 6.8. Summary. Exercises. 7. Queueing
Networks. 7.1 Definitions. 7.2 Open Queueing Networks. 7.3 Closed Queueing
Networks. 7.4 Product-Form Queueing Networks. 7.5 Case Studies. Exercises.
8. Operational and Mean Value Analysis. 8.1 Utilization Law. 8.2 Little's
Formula. 8.3 Forced Flow Law. 8.4 Interactive Response Time Law. 8.5
Bottleneck Analysis. 8.6 Standard Mean Value Analysis (MVA). 8.7
Scheweitzer's Approximation of MVA. 8.8 Balanced Job Bounds. 9.
Introduction to the Simulation Technique. 9.1 Simulation Types. 9.2
Terminology. 9.3 Random Number Generation Techniques. 9.3.1 Linear
Congruential Generators. 9.3.2 Mixed Generators. 9.3.3 Tausworthe
Generators. 9.3.5 Extended Fibonici Generators. 9.4 Survey of Commonly Used
Random Number Generators. 9.5 Seed Selections. 9.6 Testing Random Number
Generators. 9.7 Random Variate Generation Techniques. 9.7.1 Inverse
Transformation. 9.7.2 Rejection. 9.7.3 Characterization. 9.7.4 Convolution.
9.7.5 Composition. 9.8 Examples. Exercises. 10. Commonly Used Distributions
in Simulation and Their Applications. 10.1 Exponential. 10.2 Posisson. 10.3
Uniform. 10.5 Normal. 10.6 Weibull. 10.7 Pareto. 10.8 Geometric. 10.9
Gamma. 10.10 Erlang. 10.11 Beta. 10.12 Binomial. 10.13 Bernoulli. 10.14
Chi-Square. 10.15 F Distribution. 10.16 Log Normal. 10.17 Pascal. 10.18
Student's t Distribution. 10.19 Examples. Exercises. 11. Analysis of
Simulation Outputs. 11.1 Introduction. 11.2 Vérification Techniques. 11.3
Validation techniques. 11.4 Techniques for Transient Removal. 11.5
Techniques for Termination of Simulation and Stopping Criteria. Exercises.
12. Simulation Software. 12.1 General Purpose Languages. 12.2 Simulation
languages. 12.3 Object-Oriented languages. 12.3.1 Standard Object-Oriented
Languages. 12.3.2 Objected-oriented Simulation Languages. 12.4 Simulation
Packages Used for Simulation of Computer and Telecommunications Systems.
12.4 Case Studies. Exercises.