DiscreteEventSimulation - CDA6530 Performance Models of...

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CDA6530: Performance Models of Computers and Networks Chapter 8: Discrete Event Simulation Chapter 8: Discrete Event Simulation (DES)
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Simulation Studies Models with analytical formulas Calculate the numerical solutions Differential equations ---- Matlab Simulink O di tl l if h l d f l l ti Or directly solve if has closed formula solutions Discrete equations --- program code to solve The mean value formulas for stochastic events Solutions are only for the mean values If d i d l i t If you derive models in your paper, you must use real simulation to verify that your analytical formulas are accurate 2 analytical formulas are accurate
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Simulation Studies Models without analytical formulas Monte Carlo simulation Generate a large number of random samples Aggregate all samples to generate final result Example: use U(0,1) to compute integral Discrete-time simulation Divide time into many small steps Update system states step-by-step Approximate, assume system unchanged during a time step Discrete event simulation (DES) Accurate E t d i 3 Event-driven
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