The Art of Computer Systems Performance Analysis: Table of Contents

(Only chapter titles are listed)

Part I: AN OVERVIEW OF PERFORMANCE EVALUATION

1. Introduction.
2. Common Mistakes and How To Avoid Them.
3. Selection of Techniques and Metrics.
   Further Reading

   Part II: MEASUREMENT TECHNIQUES AND TOOLS

4. Types of Workloads.
5. The Art of Workload Selection.
6. Workload Characterization & Techniques.
7. Monitors.
8. Program-Execution Monitors and Accounting Logs.
9. Capacity Planning and Benchmarking.
10. The Art of Data Presentation.
11. Ratio Games.
    Further Reading

    Part III: PROBABILITY THEORY AND STATISTICS

12. Summarizing Measured Data.
13. Comparing Systems Using Sample Data.
14. Simple Linear Regression Models.
15. Other Regression Models.
    Further Reading

    Part IV: EXPERIMENTAL DESIGN AND ANALYSIS

16. Introduction to Experimental Design.
17. 2^k Factorial Designs.
18. 2^kr Factorial Designs with Replications.
19. 2^{k-p} Fractional Factorial Designs.
20. One Factor Experiments.
21. Two Factors Full Factorial Design without Replications.
22. Two Factors Full Factorial Design with Replications.
23. General Full Factorial Designs With k Factors.
    Further Reading

    Part V: SIMULATION

24. Introduction to Simulation.
25. Analysis of Simulation Results.
26. Random-Number Generation.
27. Testing Random-Number Generators.
28. Random-Variate Generation.
29. Commonly Used Distributions.
    enerators.
30. Random-Variate Generation.
31. Commonly Used Distributions.
    Further Reading

    Part VI: QUEUEING MODELS

32. Introduction to Queueing Theory.
33. Analysis of a Single Queue.
34. Queueing Networks.
35. Operational Laws.
36. Mean Value Analysis and Related Techniques.
37. Convolution Algorithm.
38. Hierarchical Decomposition of Large Queueing Networks.
    Further Reading

Appendix A

• Statistical Tables
• Solutions to Selected exercises
• References
• Index