Computer Performance Modeling - Computer Measurement Group
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Computer Performance Modeling

Techniques, Tools and Thoughts to Model Computer Performance for your environment and use cases

This course, in eight sections, covers the basic concepts of Computer Performance Modeling, including probability models as well as simulation models.

You will learn the underlying concepts and assumptions used by commercial modeling software. In addition, sufficient details, thoughts, tools and techniques can be used to construct custom models to explore specific computer performance cases.

Course Syllabus

Introductory Section

  • Introduction
  • Motivation
  • Business Case for Response Time Objectives
  • Response Time is a Non-Linear Function
  • Non-Linearity of Response Time
  • Confidence / Risk

What is a Computer Performance Model?

  • Introduction
  • What is a Model?
  • A Computer Performance Model
  • One vs Two Queues
  • The Example Workload
  • The Example Configuration
  • Modeling “What-If” Scenarios

Milestones in CPM

  • Introduction
  • Probability Models – It’s the LAW!
  • A. A. Markov
  • Agner Erlang
  • William Feller
  • Leonard Kleinrock
  • Arnold Allen
  • CPM Specific Milestones

About the Instructor

Michael Salsburg is an independent consultant, focused on IT performance measurement, analysis, modeling and optimization.

Previously, Dr. Salsburg was a Unisys Distinguished Engineer and Chief Architect for Unisys Technology Products.He was for many years an international thought-leader in Cloud Computing and Agile Development processes.

Dr. Salsburg has been awarded four international patents in the area of infrastructure performance modeling algorithms and software.In addition, he has published over 70 papers and has lectured world-wide on the topics of Real-Time Infrastructure, Cloud Computing and Infrastructure Optimization.In 2010, the Computer Measurement Group awarded Dr. Salsburg the A. A. Michelson Award – its highest award for lifetime achievement.

Dr. Salsburg received his Bachelor of Science from the University of Pittsburgh in Mathematics in August 1972.He received his Masters of Science from the University of Delaware in Computer Science (Software Engineering and Artificial Intelligence) in 1982 and his Doctor of Philosophy in Mathematics from Drexel University (Probability and Statistics) in 1992.

Dr. Salsburg is extremely active in the local Philadelphia music scene and often plays with various bands, including the legendary Ferko String Band. You can find music clips and videos at

Fees: Free for Members, $399 for Non-Members

Time to Complete: Appx 5 hours

Certificate/Digital Badge: Yes, Certificate upon completion.

This course is FREE to CMG annual members. Log in to access the course.

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