Performance Evaluation of Computer and Communication Systems

Methodology What is Performance Evaluation ? Factors Evaluation Methods The Scientific Method Performance Patterns Summarizing Performance Data, Confidence Intervals Summarized Performance Data Confidence Intervals The Independence Assumption Prediction Interval Which Summarization To Use? Other Aspects of Confidence/Prediction Intervals Proofs Model Fitting Model Fitting Criteria Linear Regression Linear Regression with Norm Minimization Choosing a Distribution Heavy Tail Proofs Tests The Neyman Pearson Framework Likelihood Ratio Tests ANOVA Asymptotic Results Other Tests Proofs Forecasting What is Forecasting ? Linear Regression The Overfitting Problem Differencing the Data Fitting Differenced Data to an ARMA Model Sparse ARMA and ARIMA Models Proofs Discrete Event Simulation What is a Simulation? Simulation Tehniques Computing the Accuracy of Stochastic Simulations Monte Carlo Simulation Random Number Generators How to Sample from a Distribution Importance Sampling Proofs Palm Calculus, or the Importance of the Viewpoint An Informal Introduction Palm Calculus Other Useful Palm Calculus Results Simulation Defined as Stochastic Recurrence Application to Markov Chain Models and the PASTA Property Appendix: Quick Review of Markov Chains Proofs Review Questions Queuing Theory for Those Who Cannot Wait Deterministic Analysis Operational Laws For Queuing Systems Classical Results for a Single Queue Definitions for Queuing Networks The Product-Form Theorem Computational Aspects What This Tells Us Mathematical Details About Product-Form Queuing Networks Case Study Proofs Each chapter concludes with a Review that includes review questions.