Coursebooks 2017-2018

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Performance evaluation

COM-503

Lecturer(s) :

Language:

English

Remarque

cours biennal donné les années paires (pas donné en 2017-18)

Summary

In this course you will learn the methods and techniques that are used to perform a good performance evaluation during a research or development project.

Content

MethodologyA Performance Evaluation Methodology. The scientific method. Dijkstra and Occam's principle.
Statistics and Modeling.
Statistics and modeling, why and how. Comparing systems using sampled data. Regression models. Factorial analysis. Stochastic load and system models. Load forecasting. The Box-Jenkins method.
Practicals.
Using a statistics package (Matlab). Measurements. Discrete event simulation. Stationarity and Steady State. Analysis of simulation results. Perfect Simulations.
Elements of a Theory of Performance.Performance of systems with waiting times. Utilization versus waiting times. Operational laws. Little's formula. Forced flows.law. Stochastic modeling revisited. The importance of the viewpoint. Palm calculus. Application to Simulation Performance patterns in complex systems. Bottlenecks. Congestion phenomenon. Performance paradoxes.

 

Mini-Project proposed by student.

Learning Prerequisites

Required courses

A first course on probability

A first course on programming

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Lectures + labs + miniproject

Assessment methods

With continuous control

Resources

Bibliography

Performance Evaluation of Computer and Communication Systems, Le Boudec Jean-Yves, EPFL Press 2010 also available online at perfeval.epfl.ch

Ressources en bibliothèque
Websites

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German