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Performance Evaluation of Computer Systems

Performance Evaluation of Computer Systems. Instructor: Prof. Krishna Moorthy Sivalingam, Department of Computer Science and Engineering, IIT Madras. The objective of this course is to understand the fundamental concepts of computer system performance evaluation. Topics covered in this course will include introduction to mathematical modeling techniques (Markov Chains, Queuing Theory and Networks of Queues), discrete event simulation modeling, experimental design, workload characterization, measurement of performance metrics, analysis and presentation of results. (from nptel.ac.in)

Lecture 12 - Continuous Time Markov Chain and Queuing Theory


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Lecture 01 - Introduction
Lecture 02 - How to Avoid Common Mistakes
Lecture 03 - Selection of Techniques and Metrics
Lecture 04 - Case Study: Selection of Techniques and Metrics
Lecture 05 - Random Variables and Probability Distributions
Lecture 06 - Probability Distributions I
Lecture 07 - Probability Distributions II
Lecture 08 - Probability Distributions III
Lecture 09 - Stochastic Process
Lecture 10 - Markov Chain
Lecture 11 - Slotted Aloha Protocol Model and Discrete Time Birth Death Process
Lecture 12 - Continuous Time Markov Chain and Queuing Theory
Lecture 13 - Queuing Theory I
Lecture 14 - Queuing Theory II
Lecture 15 - Queuing Theory III
Lecture 16 - Queuing Theory IV
Lecture 17 - Queuing Theory V
Lecture 18 - Queuing Theory VI
Lecture 19 - Queuing Networks I
Lecture 20 - Queuing Networks II
Lecture 21 - Slotted Aloha Markov Model
Lecture 22 - Simulations I
Lecture 23 - Simulations II
Lecture 24 - Simulations III
Lecture 25 - Operational Laws I
Lecture 26 - Operational Laws II
Lecture 27 - Open and Closed Queuing Networks
Lecture 28 - Approximate MVA
Lecture 29 - Convolution Algorithm I
Lecture 30 - Convolution Algorithm II
Lecture 31 - Load Dependent Service Centers
Lecture 32 - Hierarchical Decomposition
Lecture 33 - Balanced Job Bounds
Lecture 34 - Confidence Interval for Proportions and Introduction to Experimental Design
Lecture 35 - 2k Factorial Design
Lecture 36 - 2k r Factorial Design and 2k-p Fractional Factorial Design
Lecture 37 - Programming Aspects of Discrete-Event Simulations I
Lecture 38 - Programming Aspects of Discrete-Event Simulations II
Lecture 39 - Discrete-Event Simulations III
Lecture 40 - PetriNets I
Lecture 41 - PetriNets II
Lecture 42 - PetriNets III