ISBN-10:
0471269832
ISBN-13:
9780471269830
Pub. Date:
01/26/2010
Publisher:
Wiley
Fundamentals of Performance Evaluation of Computer and Telecommunications Systems / Edition 1

Fundamentals of Performance Evaluation of Computer and Telecommunications Systems / Edition 1

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Product Details

ISBN-13: 9780471269830
Publisher: Wiley
Publication date: 01/26/2010
Pages: 400
Product dimensions: 6.40(w) x 9.30(h) x 1.20(d)

About the Author

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.

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Table of Contents

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 TheirApplications.

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 StoppingCriteria.

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 andTelecommunications Systems.

12.4 Case Studies.

Exercises.

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