Package org.palladiosimulator.solver.reliability.sensitivity

Class MultiSensitivity

java.lang.Object

org.palladiosimulator.solver.reliability.sensitivity.MarkovSensitivity

org.palladiosimulator.solver.reliability.sensitivity.MultiSensitivity

public class MultiSensitivity
extends MarkovSensitivity

Provides a possibility to define multiple sensitivity parameters to be defined within one sensitivity analysis.

Field Summary

Fields

Modifier and Type	Field	Description
List<MarkovSensitivity>	sensitivityParameters	List of sensitivity parameters.

Fields inherited from class org.palladiosimulator.solver.reliability.sensitivity.MarkovSensitivity

calculator, helper, LOGGER, logWriter, model, name, numberOfSteps

Constructor Summary

Constructors

Constructor	Description
MultiSensitivity(String name, List<MarkovSensitivity> sensitivityParameters, boolean isCombinatory)	The constructor.

Method Summary

Modifier and Type	Method	Description
protected boolean	alterModel()	Alters the model according to the next sensitivity analysis step.
protected void	extractSensitivityInformation()	Extracts the relevant sensitivity information from the given model.
protected int	getCurrentStepNumber()	Retrieves the current step number.
protected List<List<String>>	getLogHeadingsMulti()	Builds the headings strings for logging.
protected List<String>	getLogSingleResultsMulti()	Builds the results strings for sensitivity logging.
protected boolean	increaseCurrentStepNumber()	Increases the current step number.
protected void	resetCurrentStepNumber()	Resets the current step number.
protected void	setModel(PCMInstance model)	Sets the PCM instance.

Methods inherited from class org.palladiosimulator.solver.reliability.sensitivity.MarkovSensitivity

finalize, getDoubleVariation, getLogSingleResults, getModel, getNextModel, getStringSequence, initialize, logResults, setLogFileName, setResultSpecifications

Methods inherited from class java.lang.Object

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

Field Detail

sensitivityParameters

public List<MarkovSensitivity> sensitivityParameters

List of sensitivity parameters.

Constructor Detail

MultiSensitivity

public MultiSensitivity(String name,
                        List<MarkovSensitivity> sensitivityParameters,
                        boolean isCombinatory)

The constructor.

Parameters:

name - name of the sensitivity analysis

sensitivityParameters - list of sensitivity parameters

isCombinatory - indicates if all combinations of sensitivity parameters shall be examined

Method Detail

alterModel

protected boolean alterModel()

Alters the model according to the next sensitivity analysis step.

Specified by:

alterModel in class MarkovSensitivity

Returns:

indicates if the model could be successfully altered

extractSensitivityInformation

protected void extractSensitivityInformation()

Extracts the relevant sensitivity information from the given model.

Specified by:

extractSensitivityInformation in class MarkovSensitivity

getCurrentStepNumber

protected int getCurrentStepNumber()

Retrieves the current step number.

Overrides:

getCurrentStepNumber in class MarkovSensitivity

Returns:

the current step number

getLogHeadingsMulti

protected List<List<String>> getLogHeadingsMulti()

Builds the headings strings for logging.

Specified by:

getLogHeadingsMulti in class MarkovSensitivity

Returns:

the log headings strings

getLogSingleResultsMulti

protected List<String> getLogSingleResultsMulti()

Builds the results strings for sensitivity logging.

Specified by:

getLogSingleResultsMulti in class MarkovSensitivity

Returns:

the results strings

increaseCurrentStepNumber

protected boolean increaseCurrentStepNumber()

Increases the current step number.

Overrides:

increaseCurrentStepNumber in class MarkovSensitivity

Returns:

indicates an overflow

resetCurrentStepNumber

protected void resetCurrentStepNumber()

Resets the current step number.

Overrides:

resetCurrentStepNumber in class MarkovSensitivity

setModel

protected void setModel(PCMInstance model)

Sets the PCM instance.

Overrides:

setModel in class MarkovSensitivity

Parameters:

model - the PCM instance