Muutke küpsiste eelistusi

Fundamentals of Performance Evaluation of Computer and Telecommunication Systems [Other digital carrier]

  • Formaat: Other digital carrier, 480 pages
  • Ilmumisaeg: 25-Jan-2010
  • Kirjastus: Wiley-Blackwell
  • ISBN-10: 0470567201
  • ISBN-13: 9780470567203
Teised raamatud teemal:
Fundamentals of Performance Evaluation of Computer  and Telecommunication  Systems
  • Formaat: Other digital carrier, 480 pages
  • Ilmumisaeg: 25-Jan-2010
  • Kirjastus: Wiley-Blackwell
  • ISBN-10: 0470567201
  • ISBN-13: 9780470567203
Teised raamatud teemal:

The only singular, all-encompassing textbook on state-of-the-art technical performance evaluation

Fundamentals of Performance Evaluation of Computer and Telecommunication Systems uniquely presents all techniques of performance evaluation of computers systems, communication networks, and telecommunications in a balanced manner. Written by the renowned Professor Mohammad S. Obaidat and his coauthor Professor Noureddine Boudriga, it is also the only resource to treat computer and telecommunication systems as inseparable issues. The authors explain the basic concepts of performance evaluation, applications, performance evaluation metrics, workload types, benchmarking, and characterization of workload. This is followed by a review of the basics of probability theory, and then, the main techniques for performance evaluation namely measurement, simulation, and analytic modeling with case studies and examples.

  • Contains the practical and applicable knowledge necessary for a successful performance evaluation in a balanced approach

  • Reviews measurement tools, benchmark programs, design of experiments, traffic models, basics of queueing theory, and operational and mean value analysis

  • Covers the techniques for validation and verification of simulation as well as random number generation, random variate generation, and testing with examples

  • Features numerous examples and case studies, as well as exercises and problems for use as homework or programming assignments

Fundamentals of Performance Evaluation of Computer and Telecommunication Systems is an ideal textbook for graduate students in computer science, electrical engineering, computer engineering, and information sciences, technology, and systems. It is also an excellent reference for practicing engineers and scientists.

The only singular, all-encompassing textbook on state-of-the-art technical performance evaluation

Fundamentals of Performance Evaluation of Computer and Telecommunication Systems uniquely presents all techniques of performance evaluation of computers systems, communication networks, and telecommunications in a balanced manner. Written by the renowned Professor Mohammad S. Obaidat and his coauthor Professor Noureddine Boudriga, it is also the only resource to treat computer and telecommunication systems as inseparable issues. The authors explain the basic concepts of performance evaluation, applications, performance evaluation metrics, workload types, benchmarking, and characterization of workload. This is followed by a review of the basics of probability theory, and then, the main techniques for performance evaluation—namely measurement, simulation, and analytic modeling—with case studies and examples.

  • Contains the practical and applicable knowledge necessary for a successful performance evaluation in a balanced approach

  • Reviews measurement tools, benchmark programs, design of experiments, traffic models, basics of queueing theory, and operational and mean value analysis

  • Covers the techniques for validation and verification of simulation as well as random number generation, random variate generation, and testing with examples

  • Features numerous examples and case studies, as well as exercises and problems for use as homework or programming assignments

Fundamentals of Performance Evaluation of Computer and Telecommunication Systems is an ideal textbook for graduate students in computer science, electrical engineering, computer engineering, and information sciences, technology, and systems. It is also an excellent reference for practicing engineers and scientists.

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 Verification
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.