IT2061 SYSTEM MODELING AND SIMULATION L T P C
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UNIT I INTRODUCTION TO SIMULATION 9 Introduction – Simulation Terminologies- Application areas – Model Classification – Types of Simulation- Steps in a Simulation study- Concepts in Discrete Event Simulation - Simulation Examples
UNIT II MATHEMATICAL MODELS 9
Statistical Models - Concepts – Discrete Distribution- Continuous Distribution – Poisson Process- Empirical Distributions- Queueing Models – Characteristics- Notation – Queueing Systems – Markovian Models- Properties of random numbers- Generation of Pseudo Random numbers- Techniques for generating random numbers-Testing random number generators- Generating Random-Variates- Inverse Transform technique – Acceptance- Rejection technique – Composition & Convolution Method.
UNIT III ANALYSIS OF SIMULATION DATA 9
Input Modeling - Data collection - Assessing sample independence - Hypothesizing distribution family with data - Parameter Estimation - Goodness-of-fit tests - Selecting input models in absence of data- Output analysis for a Single system – Terminating Simulations – Steady state simulations.
UNIT IV VERIFICATION AND VALIDATION 9
Model Building – Verification of Simulation Models – Calibration and Validation of Models – Validation of Model Assumptions – Validating Input – Output Transformations.
UNIT V SIMULATION OF COMPUTER SYSTEMS AND CASE STUDIES 9
Simulation Tools – Model Input – High level computer system simulation – CPU – Memory Simulation – Comparison of systems via simulation – Simulation Programming techniques - Development of Simulation models.
TEXT BOOKS:
1. Jerry Banks and John Carson, “ Discrete Event System Simulation”, Fourth Edition, PHI, 2005.
2. Geoffrey Gordon, “System Simulation”, Second Edition, PHI, 2006 (Unit – V).
REFERENCES:
1. Frank L. Severance, “ System Modeling and Simulation”, Wiley, 2001.
2. Averill M. Law and W.David Kelton, “ Simulation Modeling and Analysis, Third Edition, McGraw Hill, 2006.
3. Jerry Banks, “Handbook of Simulation: Principles, Methodology, Advances, Applications and Practice”, Wiley, 1998.
3 0 0 3
UNIT I INTRODUCTION TO SIMULATION 9 Introduction – Simulation Terminologies- Application areas – Model Classification – Types of Simulation- Steps in a Simulation study- Concepts in Discrete Event Simulation - Simulation Examples
UNIT II MATHEMATICAL MODELS 9
Statistical Models - Concepts – Discrete Distribution- Continuous Distribution – Poisson Process- Empirical Distributions- Queueing Models – Characteristics- Notation – Queueing Systems – Markovian Models- Properties of random numbers- Generation of Pseudo Random numbers- Techniques for generating random numbers-Testing random number generators- Generating Random-Variates- Inverse Transform technique – Acceptance- Rejection technique – Composition & Convolution Method.
UNIT III ANALYSIS OF SIMULATION DATA 9
Input Modeling - Data collection - Assessing sample independence - Hypothesizing distribution family with data - Parameter Estimation - Goodness-of-fit tests - Selecting input models in absence of data- Output analysis for a Single system – Terminating Simulations – Steady state simulations.
UNIT IV VERIFICATION AND VALIDATION 9
Model Building – Verification of Simulation Models – Calibration and Validation of Models – Validation of Model Assumptions – Validating Input – Output Transformations.
UNIT V SIMULATION OF COMPUTER SYSTEMS AND CASE STUDIES 9
Simulation Tools – Model Input – High level computer system simulation – CPU – Memory Simulation – Comparison of systems via simulation – Simulation Programming techniques - Development of Simulation models.
TEXT BOOKS:
1. Jerry Banks and John Carson, “ Discrete Event System Simulation”, Fourth Edition, PHI, 2005.
2. Geoffrey Gordon, “System Simulation”, Second Edition, PHI, 2006 (Unit – V).
REFERENCES:
1. Frank L. Severance, “ System Modeling and Simulation”, Wiley, 2001.
2. Averill M. Law and W.David Kelton, “ Simulation Modeling and Analysis, Third Edition, McGraw Hill, 2006.
3. Jerry Banks, “Handbook of Simulation: Principles, Methodology, Advances, Applications and Practice”, Wiley, 1998.
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