Unit-I
Introduction to Modeling and Simulation
Nature of Simulation. Systems , Models and Simulation, Continuous and Discrete Systems,
system modeling, concept of simulation, Components of a simulation study, Principles used in
modeling Static and Dynamic physical models, Static and Dynamic Mathematical models
Introduction to Static and Dynamic System simulation , Advantages ,Disadvantages and pitfalls
of Simulation.
Unit-II
System Simulation and Continuous System Simulation
Types of System Simulation, Monte Carlo Method, Comparision of analytical and Simulation
methods, Numerical Computation techniques for Continuous and Discrete Models, Distributed
Lag Models, Cobweb Model. Continuous System models, Analog and Hybrid computers, Digital-
Analog Simulators, Continuous system simulation languages ,Hybrid simulation ,Real Time
simulations.
Unit –III
System Dynamics & Probability concepts in Simulation
Exponential growth and decay models, logistic curves ,Generalization of growth models ,
System dynamics diagrams, Multi segment models , Representation of Time Delays. Discrete
and Continuous probability functions, Continuous Uniformly Distributed Random Numbers,
Generation of a Random numbers, Generating Discrete distributions, Non-Uniform Continuously
Distributed Random Numbers, Rejection Method.
Unit-IV
Simulation of Queueing Systems and Discrete System Simulation
Poisson arrival patterns, Exponential distribution, Service times, Normal Distribution Queuing
Disciplines, Simulation of single and two server queue. Application of queuing theory in
computer system. Discrete Events ,Generation of arrival patterns, Simulation programming
tasks, Gathering statistics, Measuring occupancy and Utilization, Recording Distributions and
Transit times .
Unit-V
Introduction to Simulation languages and Analysis of Simulation output
GPSS: Action times, Succession of events, Choice of paths, Conditional transfers, program
control statements . SIMSCRIPT: Organization of SIMSCRIPT Program, Names & Labels,
SIMSCRIPT statements . Estimation methods , Relication of Runs, Batch Means , Regenerative
techniques , Time Series Analysis , Spectral Analysis and Autoregressive Processes.
List of Experiments:-
1. Simulate CPU scheduling algorithm using queueing system
a) FCFS b) SJF c) Priority Algo
2. Simulate multiplexer/concentrator using queuing system
3. Simulate congestion control algorithms.
4. Simulate disk scheduling algorithms.
5. Simulate a Manufacturing shop and write a program in GPSS.
6. Simulate Telephone system model and write a program in SIMSCRIPT.
References:
Gorden G., System simulation, Prentice Hall.
Seila, Simulation Modeling, Cengage Learning
Law .,Simulation Modeling And Analysis, McGraw Hill
Deo, System Simulation with Digital Computer, PHI
Harrington, Simulation Modeling methods, McGraw Hill
Severance, “ System Modeling & Simulation, Willey Pub
Introduction to Modeling and Simulation
Nature of Simulation. Systems , Models and Simulation, Continuous and Discrete Systems,
system modeling, concept of simulation, Components of a simulation study, Principles used in
modeling Static and Dynamic physical models, Static and Dynamic Mathematical models
Introduction to Static and Dynamic System simulation , Advantages ,Disadvantages and pitfalls
of Simulation.
Unit-II
System Simulation and Continuous System Simulation
Types of System Simulation, Monte Carlo Method, Comparision of analytical and Simulation
methods, Numerical Computation techniques for Continuous and Discrete Models, Distributed
Lag Models, Cobweb Model. Continuous System models, Analog and Hybrid computers, Digital-
Analog Simulators, Continuous system simulation languages ,Hybrid simulation ,Real Time
simulations.
Unit –III
System Dynamics & Probability concepts in Simulation
Exponential growth and decay models, logistic curves ,Generalization of growth models ,
System dynamics diagrams, Multi segment models , Representation of Time Delays. Discrete
and Continuous probability functions, Continuous Uniformly Distributed Random Numbers,
Generation of a Random numbers, Generating Discrete distributions, Non-Uniform Continuously
Distributed Random Numbers, Rejection Method.
Unit-IV
Simulation of Queueing Systems and Discrete System Simulation
Poisson arrival patterns, Exponential distribution, Service times, Normal Distribution Queuing
Disciplines, Simulation of single and two server queue. Application of queuing theory in
computer system. Discrete Events ,Generation of arrival patterns, Simulation programming
tasks, Gathering statistics, Measuring occupancy and Utilization, Recording Distributions and
Transit times .
Unit-V
Introduction to Simulation languages and Analysis of Simulation output
GPSS: Action times, Succession of events, Choice of paths, Conditional transfers, program
control statements . SIMSCRIPT: Organization of SIMSCRIPT Program, Names & Labels,
SIMSCRIPT statements . Estimation methods , Relication of Runs, Batch Means , Regenerative
techniques , Time Series Analysis , Spectral Analysis and Autoregressive Processes.
List of Experiments:-
1. Simulate CPU scheduling algorithm using queueing system
a) FCFS b) SJF c) Priority Algo
2. Simulate multiplexer/concentrator using queuing system
3. Simulate congestion control algorithms.
4. Simulate disk scheduling algorithms.
5. Simulate a Manufacturing shop and write a program in GPSS.
6. Simulate Telephone system model and write a program in SIMSCRIPT.
References:
Gorden G., System simulation, Prentice Hall.
Seila, Simulation Modeling, Cengage Learning
Law .,Simulation Modeling And Analysis, McGraw Hill
Deo, System Simulation with Digital Computer, PHI
Harrington, Simulation Modeling methods, McGraw Hill
Severance, “ System Modeling & Simulation, Willey Pub
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