Performance Evaluation of Computer Systems

Overview

Contents:
Introduction - How to avoid common mistakes - Selection of techniques and metrics - Case study: Selection of techniques and metrics - Random Variables and probability distributions - Probability distributions - Stochastic process - Markov Chain - Slotted Aloha protocol model and discrete-time birth death process - Queuing theory - Continuous time Markov chain and queuing theory - Queuing networks - Slotted Aloha Markov mode-Simulations - Operational laws

Open and closed queuing networks - Approximate MVA - Convolution algorithm - Load-dependent service center - Hierarchical decomposition Balanced Job Bound s- Confidence interval for pro potions and introduction to experimental design - 2k factorial design - 2k r factorial design and 2k-p fractional factorial design-Programming aspects of discrete - event simulations - Discrete - event simulations - PetriNets