CS457 - System Performance Evaluation - Winter 2010


Public Service Announcements

  1. Mid-term conflicts
  2. Assignment 2

Lecture 14 - Data Analysis III

Analysis of Variance (ANOVA) aka Linear Models (pdf)

Zero Factor Analysis of Variance

One Factor Analysis of Variance

Two Factor Analysis of Variance

New Concepts

The Linear Model

The Calculation

Two Cell Mean Tables

Cell Means
Factor B: Level 1 Factor B: Level 2 Factor B: Level 3 Factor A:
Normalized Averages
Factor A: Level 1 8, -30.3 32, -6.3 128, 89.7 56, 17.7
Factor A: Level 2 5, -33.3 17, -21.3 68,29.7 30, -8.3
Factor A: Level 3 5, -33.3 17, -21.3 65, 26.7 29, -9.3
Factor B:
Normalized Averages
6, -32.3 22, -16.3 87, 48.7

Predicted Cell Means without interaction
Factor B: Level 1 Factor B: Level 2 Factor B: Level 3
Factor A: Level 1 -14.7 1.3 66.3
Factor A: Level 2 -40.7 -24.7 40.3
Factor A: Level 3 -41.67 -25.7 39.3

ANOVA Tables

Factor A 11042 2 5521 30.3
Factor B 1406 2 703 0.4
Remaining Error 1276 7 182.3
Total Error 13724

Experimental Design

Design for analysis


Simulation

Models

Based on a model, which is an abstraction of the system.

Types of models

Model development

  1. You did this before
  2. Select the type of queueing model
  3. Specify attributes that need algorithms
  4. Specify workload parameters and performance metrics

Example. Routing for automated telephone support

For a more CS-like example see this pdf.


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