Package org.palladiosimulator.reliability.solver.sensitivity

Class NetworkSensitivity

java.lang.Object

org.palladiosimulator.reliability.solver.sensitivity.MarkovSensitivity

org.palladiosimulator.reliability.solver.sensitivity.NetworkSensitivity

public class NetworkSensitivity
extends MarkovSensitivity

Provides sensitivity support to alter the failure probabilities of all communication links within the whole PCM Resource Environment.

Field Summary

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

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

Constructor Summary

Constructors

Constructor	Description
NetworkSensitivity(String name, DoubleParameterVariation variation)	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 List<List<String>>	getLogHeadingsMulti()	Builds the headings strings for logging.
protected List<String>	getLogSingleResultsMulti()	Builds the results strings for sensitivity logging.

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

finalize, getCurrentStepNumber, getDoubleVariation, getLogSingleResults, getModel, getNextModel, getStringSequence, increaseCurrentStepNumber, initialize, logResults, resetCurrentStepNumber, setLogFileName, setModel, setResultSpecifications

Methods inherited from class java.lang.Object

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

Constructor Details

NetworkSensitivity

public NetworkSensitivity(String name,
 DoubleParameterVariation variation)

The constructor.

Parameters:

name - the name of the sensitivity analysis

variation - the parameter variation

Method Details

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

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