Performance Evaluation of Systems
PhD and Master Program in Computer Science
The course aims to study fundamentals, techniques, and methodologies for the performance evaluation of systems. We use a systematic methodology to guide students through a practical project. Each theoretical class conducts the student to a new step of the methodology. We motivate project owners to present the challenges of their projects, exchange experiences with classmates, bring and discuss scientific papers that may help solve their problems.
Slides
Course Plan and Common Mistakes in Performance Evaluation
A Systematic Approach to Performance Evaluation
Comparing Techniques for Performance Evaluation
R Programming Language - Vector, Matrix, and Lists
R Programming Language - Data Frames and Operating with Files
Average Performance and Variability
Errors in Experimental Measurements
Estimating the Number of Measures, Probability Distributions, Comparing Alternatives
Comparing Alternatives (cont.)
Select workload, Analyze and interpret the data, and Present the results