Computer - Performance Evaluation of Computer Systems (English)

   Monday, March 24, 2025   

Starting a new Lecture Notes Series on Computer - Performance Evaluation of Computer Systems

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Computer - Performance Evaluation of Computer Systems By Lecture Notes together!

Lecture 1: Mod-01 Lec-01 Introduction to performance evaluation of computer systems

Lecture 2: Mod-01 Lec-02 How to avoid common mistakes

Lecture 3: Mod-01 Lec-03 Selection of techniques and metrics

Lecture 4: Mod-01 Lec-04 Case study: Selection of techniques and metrics

Lecture 5: Mod-01 Lec-05 Random Variables and probability distributions

Lecture 6: Mod-01 Lec-06 Probability distributions-I

Lecture 7: Mod-01 Lec-07 Probability distributions-II

Lecture 8: Mod-01 Lec-08 Probability distributions-III

Lecture 9: Mod-01 Lec-09 Stochastic process

Lecture 10: Mod-01 Lec-10 Markov Chain

Lecture 11: Mod-01 Lec-11 Slotted Aloha protocol model and discrete-time birth death process

Lecture 12: Mod-01 Lec-12 Continuous time Markov chain and queuing theory-I

Lecture 13: Mod-01 Lec-12b Queuing theory -- I (Continued)

Lecture 14: Mod-01 Lec-13 Queuing theory -- II

Lecture 15: Mod-01 Lec-14 Queuing theory-III

Lecture 16: Mod-01 Lec-15 Queuing theory-IV

Lecture 17: Mod-01 Lec-16 Queuing theory-IV

Lecture 18: Mod-01 Lec-17 Queuing theory-V

Lecture 19: Mod-01 Lec-18 Queuing theory-VI

Lecture 20: Mod-01 Lec-19 Queuing networks-I

Lecture 21: Mod-01 Lec-20 Slotted Aloha Markov model

Lecture 22: Mod-01 Lec-21 Simulations-I

Lecture 23: Mod-01 Lec-22 Simulations-II

Lecture 24: Mod-01 Lec-23 Simulations-III

Lecture 25: Mod-01 Lec-24 Operational laws-I

Lecture 26: Mod-01 Lec-25 Operational laws-II

Lecture 27: Mod-01 Lec-26 Open and closed queuing networks

Lecture 28: Mod-01 Lec-27 Approximate MVA

Lecture 29: Mod-01 Lec-28 Convolution algorithm-I

Lecture 30: Mod-01 Lec-29 Convolution algorithm-I

Lecture 31: Mod-01 Lec-30 Load-dependent service centers

Lecture 32: Mod-01 Lec-31 Hierarchical decomposition

Lecture 33: Mod-01 Lec-32 Balanced Job Bounds

Lecture 34: Mod-01 Lec-33 Confidence interval for propotions and introduction to experimental design

Lecture 35: Mod-01 Lec-34 2k factorial design

Lecture 36: Mod-01 Lec-35 2k r factorial design and 2k-p fractional factorial design

Lecture 37: Mod-01 Lec-36 Programming aspects of discrete-event simulations-I

Lecture 38: Mod-01 Lec-37 Programming aspects of discrete-event simulations-II

Lecture 39: Mod-01 Lec-38 Discrete-event simulations-III

Lecture 40: Mod-01 Lec-39 PetriNets-I

Lecture 41: Mod-01 Lec-40 PetriNets-II

Lecture 42: Mod-01 Lec-41 PetriNets-III