Modeling and Analysis of Computer and Communication Systems


Course Description:
The course introduces basic concepts of performance evaluation and analytical modeling of modern computer systems and networks.  The topics include: measurement techniques, monitoring tools, statistical analysis, simulation, analytic models, Queuing theory, benchmarks, and performance evaluation problems. 
By the end of this course students are well-prepared with theoretical and practical knowledge  for experimental design, measurement, simulation, and modeling of modern computer and communication systems. 

Text Book: 
Raj Jain, The Art of Computer Systems Performance Analysis: Techniques, Experimental Design, Measurement, Simulation and Modeling, 
John Wiley & Sons, Inc., New York, NY, 1991.

Lecture Notes:Lecture notes will be available in PPT and PDF format. 

Lecture
Topic
PPT Notes
#1 (M)
Introduction (Course Admin, Objectives, 
Common Mistakes)
#2 (W)
Introduction (Systematic Approach, Example)
Selection of Techniques and Metrics
#3 (M)
Workloads: Types, Selection, and Characterization
#4 (W)
 Workloads: Selection and Characterization
#5 (W)
 Monitors
#6 (M)
 The Art of Data Presentation; Ratio Games
#7 (W)
 Summarizing Measured Data
#8 (M)
 Comparing Systems Using Sample Data
#9 (W)
 Simple Linear Regression Models
#10 (M)
 Other Regression Models
#11 (W)
 Experimental Design
#12 (M)
 Experimental Design
#13 (W)
 2^(k-p) Factorial Design
#14 (M)
 One Factor Experiments
#15 (W)
 Midterm Exam
#16 (M)
 One Factor Experiments
 Two Factor Full Factorial Design  without Replications
#17 (W)
 Two Factor Full Factorial Design with  Replications; 
 Full Factorial Design with k Factors
#19 (W)
  Introduction to Simulation
#20  (M)
 Random Number Generation
#21 (W)
 Testing Random Number Generators,  Random-Variate Generation
#22 (M)
 (Random Variate Generation)
 Introduction to Queueing Theory
#23 (W)
 Analysis of a Single Queue (M/M/1)
#24  (M)
 Analysis of a Single Queue (M/M/m)
 Queueing Networks
#25 (W)
 Operational Laws
#26 (M)
 Mean-Value Analysis and
 Related Techniques

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