Instruction Slides for The Art of Computer Systems Performance Analysis

These slides are still in development. Some figures are missing from the slides of the chapters indicated in italics. Not all parts or chapters are ready at this time. You can print two pages per sheet on most postscript printers to produce student handouts from these.

To download all slides, click here.

For audio/video recordings of a course given by Professor Raj Jain using these slides, please see http://www.cse.wustl.edu/~jain/cse567-08/index.html

• Part I: An Overview of Performance Evaluation
  • Chapter 1: Introduction
  • Chapter 2: Common Mistakes and How to Avoid Them
  • Chapter 3: Selection of Techniques and Metrics
• Part II: Measurement Techniques and Tools
  • Chapter 4: Types of Workloads
  • Chapter 5: The Art of Workload Selection
  • Chapter 6: Workload Characterization Techniques
  • Chapter 7: Monitors
  • Chapter 8: Program Execution Monitors and Accounting Logs
  • Chapter 9:
  • Chapter 10: The Art of Data Presentation
  • Chapter 11: Ratio Games
  • Chapter 12: Summarizing Measured Data
• Part III: Probability Theory and Statistics
  • Chapter 13: Comparing Systems Using Sample Data
  • Chapter 14: Simple Linear Regression
  • Chapter 15: Other Regression Models
• Part IV: Experimental Design and Analysis
  • Chapter 16: Introduction to Experimental Design
  • Chapter 17: 2^k Factorial Designs
  • Chapter 18: 2^kr Factorial Designs with Replications
  • Chapter 19: 2^{k-p} Fractional Factorial Designs
  • Chapter 20: One Factor Experiments
  • Chapter 21: Two Factors Full Factorial Design without Replications
  • Chapter 22: Two Factors Full Factorial Design with Replications
  • Chapter 23: General Full Factorial Designs With $k$ Factors
• Part V: Simulation
  • Chapter 24: Introduction to Simulation
  • Chapter 25: Analysis of Simulation Results
  • Chapter 26: Random-Number Generation
  • Chapter 27: Testing Random-Number Generators
  • Chapter 28: Random-Variate Generation
  • Chapter 29: Commonly Used Distributions
• Part VI: Queueing Networks
  • Chapter 30: Introduction to Queueing Theory
  • Chapter 31: Analysis of a Single Queue
  • Chapter 32: Queueing Networks
  • Chapter 33: Operational Laws
  • Chapter 34: Mean Value Analysis and Related Techniques
  • Chapter 35: Convolution Algorithm
  • Chapter 36:

Last Modified January 6, 2008