Introduction: objectives of modeling, System theory and state variables Type of Model: Analytic, Simulation, Measurement, Analytic Modeling, Probability theory, Random variables, Poisson process, Markov chains.
Queuing Theory: Little’s Law, M/M/1, M/M/1/k, M/M/C, queuing Models, M/G/1[ Impact variation in service times]
Petrinets: Stochastic Petrinets[SPN],GSPN.
Simulation Modeling: Continuous and discrete event Simulation, Monte carlo Simulation, Pseudo random number generation, Non uniform Random variable Generation, Simulation Languages Features: Simpack, GPSS, GASP IV, CSIM, Estimation of Simulation Outputs/Output Matrix, confidence Intervals, Regenerative Simulation, Method of Batch Means.
Case Studies: Analytic Vs Simulation Models, Application to Operating Systems, Data bases, Networks Architectures.
P.A. Fishwick Getting started with simulation programming in C & C++.
A. Narsingh Deo, Simulation with digi9tal computer.