Package org.processmining.plugins.stochasticpetrinet.simulator

Class PNSimulatorConfig

java.lang.Object

org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

public class PNSimulatorConfig
extends java.lang.Object

Configuration parameters for the simple simulation of (stochastic) Petri Nets. Used by PNSimulator.

Author:

Andreas Rogge-Solti

Constructor Summary

Constructors

Constructor	Description
PNSimulatorConfig()
PNSimulatorConfig(long numberOfTraces)
PNSimulatorConfig(long numberOfTraces, StochasticNet net)
PNSimulatorConfig(long numberOfTraces, StochasticNet.TimeUnit unitFactor)
PNSimulatorConfig(long numberOfTraces, StochasticNet.TimeUnit unitFactor, long seed)
PNSimulatorConfig(long numberOfTraces, StochasticNet.TimeUnit unitFactor, long seed, double arrivalRate)
PNSimulatorConfig(long numberOfTraces, StochasticNet.TimeUnit unitFactor, long seed, double arrivalRate, int maxEventsInOneTrace)
PNSimulatorConfig(long numberOfTraces, StochasticNet.TimeUnit unitFactor, long seed, double arrivalRate, int maxEventsInOneTrace, StochasticNet.ExecutionPolicy policy)
PNSimulatorConfig(long numberOfTraces, StochasticNet.TimeUnit unitFactor, long seed, double arrivalRate, int maxEventsInOneTrace, StochasticNet.ExecutionPolicy policy, java.lang.String logName)

Method Summary

Modifier and Type	Method	Description
StochasticNet.ExecutionPolicy	getExecutionPolicy()
double	getQuantile()
StochasticNet.TimeUnit	getUnitFactor()
boolean	isAllowUnbounded()
boolean	isDeterministicBoundedStateSpaceExploration()
void	setAllowUnbounded(boolean allowUnbounded)
void	setDeterministicBoundedStateSpaceExploration(boolean deterministicBoundedStateSpaceExploration)
void	setQuantile(double quantile)
void	setSeed(long seed)
void	setSimulateTraceless(boolean simulateTraceLess)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces,
                         StochasticNet net)

PNSimulatorConfig

public PNSimulatorConfig()

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces)

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces,
                         StochasticNet.TimeUnit unitFactor)

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces,
                         StochasticNet.TimeUnit unitFactor,
                         long seed)

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces,
                         StochasticNet.TimeUnit unitFactor,
                         long seed,
                         double arrivalRate)

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces,
                         StochasticNet.TimeUnit unitFactor,
                         long seed,
                         double arrivalRate,
                         int maxEventsInOneTrace)

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces,
                         StochasticNet.TimeUnit unitFactor,
                         long seed,
                         double arrivalRate,
                         int maxEventsInOneTrace,
                         StochasticNet.ExecutionPolicy policy)

PNSimulatorConfig

public PNSimulatorConfig(long numberOfTraces,
                         StochasticNet.TimeUnit unitFactor,
                         long seed,
                         double arrivalRate,
                         int maxEventsInOneTrace,
                         StochasticNet.ExecutionPolicy policy,
                         java.lang.String logName)

Parameters:

numberOfTraces - the number of traces to generate by simulation.

unitFactor - the time units factor represented in the stochastic distributions (1 = milliseconds, 1000 = seconds, 60.000=minutes...)

seed - the seed for the pseudo-random generator (helps to generate the same results, if required)

arrivalRate - the arrival rate lamda for the poisson distribution used to simulate the arriving process of new cases

maxEventsInOneTrace - in order to avoid running into infinite loops, there is this variable that sets an upper limit.

policy - the StochasticNet.ExecutionPolicy of the network, i.e., how to select the next transition (preselection/race), and how to deal with transitions that lose a race.

logName - the name of the generated log.

Method Detail

isDeterministicBoundedStateSpaceExploration

public boolean isDeterministicBoundedStateSpaceExploration()

setDeterministicBoundedStateSpaceExploration

public void setDeterministicBoundedStateSpaceExploration(boolean deterministicBoundedStateSpaceExploration)

isAllowUnbounded

public boolean isAllowUnbounded()

setAllowUnbounded

public void setAllowUnbounded(boolean allowUnbounded)

setSeed

public void setSeed(long seed)

setSimulateTraceless

public void setSimulateTraceless(boolean simulateTraceLess)

getExecutionPolicy

public StochasticNet.ExecutionPolicy getExecutionPolicy()

getUnitFactor

public StochasticNet.TimeUnit getUnitFactor()

setQuantile

public void setQuantile(double quantile)

getQuantile

public double getQuantile()