CS721 - Network Performance Evaluation
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Course Category: Computer Science/Information Technology
Course Level: Graduate
Credit Hours: 3
Pre-requisites: CS610MTH101 STA301

Course Synopsis

This is a graduate level course. The purpose of this course is to present a comprehensive breadth-focused overview of empirical, analytical, and simulation techniques used for modeling and studying the performance of communication networks. In particular, following details will be covered: a. Empirical techniques: how to design valid experiments through which we systematically analyze communication networks through measurements? b. Analytical techniques: how to we make analytical models to analyze and model the performance of communication networks? In particular, we will gain an overview of queueing theory and its most important results. c. Simulation techniques: how do we make computational models to analyze and model the performance of communication networks?

Course Learning Outcomes

Upon successful completion of this course, students should be able to:
  • Apply simulation techniques to develop valid models of communication networks
  • Apply queueing-based models to characterize communication networks and to gain insights about their performance
  • Perform measurement-based empirical performance analysis of communication networks
  • Design a set of experiments to obtain the most information for a given level of effort
  • Understand the inherent trade-offs involved in using simulation, measurement, and analytical modeling
  • Avoid common simulation/ modeling/ measurement/ data presentation/ data analysis errors
  • Evaluate the relative merits of alternative system/algorithm design solutions
  • Present quantitative results visually in an effective manner
  • Engage in research in the field of performance analysis and evaluation

Course Contents

Course introduction, The Science of Network Performance Evaluation, Experimental/ Empirical Network Performance Evaluation, The Art of Network Performance Evaluation, Modeling and Simulation based Network Performance Evaluation, Course summary/ conclusions.

Course Related Links

Gallery of Data Visualization The Best and Worst of Statistical Graphics
Course Instructor

Dr. Junaid Qadir Ph.D.
University of New South Wales, Australia
Books

First Course in Design and Analysis of Experiments by Gary W. Oehlert

Analyzing Computer Systems Performance, With Perl, PDQ by Neil J. Gunther

Computer Networks and Systems: Queuing Theory & Performance Evaluation by Thomas G. Robertazzi

Computer Systems Performance Evaluation and Prediction by Paul Fortier, Howard Michel

Data Networks by Dimitri P. Bertsekas, Gallager

Fundamentals of Performance Evaluation of Computer and Telecommunications Systems by Mohammed S. Obaidat, Noureddine A. Boudriga

High Performance TCP/IP Networking by Mahbub Hassan, Raj Jain

High-Speed Networks and Internets: Performance and Quality of Service by William Stallings

How to Measure Anything: Finding the Value of Intangibles in Business by Douglas W. Hubbard

Internet Measurement: Infrastructure, Traffic and Applications by Mark Crovella, Balachander Krishnamurthy

Measuring Computer Performance: A Practitioner's Guide by David J. Lilja

Network Performance Toolkit: Using Open Source Testing Tools by Richard Blum

Simulation Modeling and Analysis with ARENA by Tayfur Altiok, Benjamin Melamed

The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling by Raj Jain

The Cartoon Guide to Statistics by Larry Gonick, Woollcott Smith

Discrete-Event Simulation: A First Course by Lawrence M. Leemis, Stephen K. Park