agentgui.simulationService.load.threading.storage

Class ThreadInfoStorageAgentClass

java.lang.Object

agentgui.simulationService.load.threading.storage.ThreadInfoStorageXYSeries

agentgui.simulationService.load.threading.storage.ThreadInfoStorageAgentClass

public class ThreadInfoStorageAgentClass
extends ThreadInfoStorageXYSeries

Protocol class for storing Thread-Load-Information of an Agent-Class

Constructor Summary

Constructors

Constructor and Description
ThreadInfoStorageAgentClass(java.lang.String name) Instantiates a new thread info storage agent class.

Method Summary

Modifier and Type	Method and Description
double	getAvgPredictiveMetric() Gets the avg predictive metric.
double	getAvgRealMetric() Gets the average real metric.
double	getMaxPredictiveMetric() Gets the max predictive metric.
double	getMaxRealMetric() Gets the max real metric.
double	getMinPredictiveMetric() Gets the minimum predictive metric.
double	getMinRealMetric() Gets the minimum real metric.
void	setAvgPredictiveMetric(double avgPredictiveMetric) Sets the average predictive metric.
void	setAvgRealMetric(double avgPrealMetric) Sets the average real metric.
void	setMaxPredictiveMetric(double maxPredictiveMetric) Sets the max predictive metric.
void	setMaxRealMetric(double maxRealMetric) Sets the max real metric.
void	setMinPredictiveMetric(double minPredictiveMetric) Sets the minimum predictive metric.
void	setMinRealMetric(double minrealMetric) Sets the minimum real metric.

Methods inherited from class agentgui.simulationService.load.threading.storage.ThreadInfoStorageXYSeries

getLastDeltaForXYSeries, getName, getXYSeriesMap, setXYSeriesMap, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

ThreadInfoStorageAgentClass

public ThreadInfoStorageAgentClass(java.lang.String name)

Instantiates a new thread info storage agent class.

Parameters:

name - the name

Method Detail

getAvgPredictiveMetric

public double getAvgPredictiveMetric()

Gets the avg predictive metric.

Returns:

the avgPredictiveMetric

setAvgPredictiveMetric

public void setAvgPredictiveMetric(double avgPredictiveMetric)

Sets the average predictive metric.

Parameters:

avgPredictiveMetric - the avgPredictiveMetric to set

getAvgRealMetric

public double getAvgRealMetric()

Gets the average real metric.

Returns:

the avgRealMetric

setAvgRealMetric

public void setAvgRealMetric(double avgPrealMetric)

Sets the average real metric.

Parameters:

avgPrealMetric - the new average real metric

getMinPredictiveMetric

public double getMinPredictiveMetric()

Gets the minimum predictive metric.

Returns:

the minPredictiveMetric

setMinPredictiveMetric

public void setMinPredictiveMetric(double minPredictiveMetric)

Sets the minimum predictive metric.

Parameters:

minPredictiveMetric - the minPredictiveMetric to set

getMinRealMetric

public double getMinRealMetric()

Gets the minimum real metric.

Returns:

the minrealMetric

setMinRealMetric

public void setMinRealMetric(double minrealMetric)

Sets the minimum real metric.

Parameters:

minrealMetric - the minrealMetric to set

getMaxPredictiveMetric

public double getMaxPredictiveMetric()

Gets the max predictive metric.

Returns:

the maxPredictiveMetric

setMaxPredictiveMetric

public void setMaxPredictiveMetric(double maxPredictiveMetric)

Sets the max predictive metric.

Parameters:

maxPredictiveMetric - the maxPredictiveMetric to set

getMaxRealMetric

public double getMaxRealMetric()

Gets the max real metric.

Returns:

the maxRealMetric

setMaxRealMetric

public void setMaxRealMetric(double maxRealMetric)

Sets the max real metric.

Parameters:

maxRealMetric - the maxRealMetric to set