Class GeometricMeanAggregator
java.lang.Object
org.palladiosimulator.monitorrepository.statisticalcharacterization.StatisticalCharacterizationAggregator
org.palladiosimulator.monitorrepository.statisticalcharacterization.GeometricMeanAggregator
StatisticalCharacterizationAggregator
corresponding to the GeometricMean
model
class which computes the geometric mean of a sequence of measurements (discrete case) or a
(positive) function with respect to an interval (continuous case): In the discrete case this is simply
GM=(x1 * x2 * ... * xn) ^ 1/n
with n
being
the number of measurements. Note that it is not defined if any of the measurements is negative or exactly 0. In such a case this implementation returns 0.
In the continuous case, this aggregator approximates the integral GM=e^(∫log(f(x))dx ⁄ (b-a)) where
a
and b
are upper and lower
interval bound and the integration is carried out from a to b, and the (positive) function
f
is interpolated from a given (finite) set of samples (i.e., measurements).-
Constructor Summary
ConstructorDescriptionGeometricMeanAggregator
(org.palladiosimulator.metricspec.NumericalBaseMetricDescription expectedWindowMetric) -
Method Summary
Modifier and TypeMethodDescriptionprotected javax.measure.Measure<Double,
javax.measure.quantity.Quantity> calculateStatisticalCharacterizationContinuous
(Iterable<org.palladiosimulator.measurementframework.MeasuringValue> windowData) Method to be implemented by each subclass to calculate the statistical characterization of a sequence of measurements with a continuous scope of validity (i.e., to aggregate them).
This method is invoked withinStatisticalCharacterizationAggregator.aggregateData(Iterable, Amount, Amount, Optional)
.protected javax.measure.Measure<Double,
javax.measure.quantity.Quantity> calculateStatisticalCharaterizationDiscrete
(Iterable<org.palladiosimulator.measurementframework.MeasuringValue> windowData) Method to be implemented by each subclass to calculate the statistical characterization of a sequence of measurements with a discrete scope of validity (i.e., to aggregate them).
This method is invoked withinStatisticalCharacterizationAggregator.aggregateData(Iterable, Amount, Amount, Optional)
.Methods inherited from class org.palladiosimulator.monitorrepository.statisticalcharacterization.StatisticalCharacterizationAggregator
aggregateData, getDataDefaultUnit, getDataMetric, getIntervalLength, obtainCurrentMeasurementValidityLength, obtainDataFromMeasurement, obtainDataValueFromMeasurement
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Constructor Details
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GeometricMeanAggregator
public GeometricMeanAggregator(org.palladiosimulator.metricspec.NumericalBaseMetricDescription expectedWindowMetric)
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Method Details
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calculateStatisticalCharaterizationDiscrete
protected javax.measure.Measure<Double,javax.measure.quantity.Quantity> calculateStatisticalCharaterizationDiscrete(Iterable<org.palladiosimulator.measurementframework.MeasuringValue> windowData) Description copied from class:StatisticalCharacterizationAggregator
Method to be implemented by each subclass to calculate the statistical characterization of a sequence of measurements with a discrete scope of validity (i.e., to aggregate them).
This method is invoked withinStatisticalCharacterizationAggregator.aggregateData(Iterable, Amount, Amount, Optional)
.- Specified by:
calculateStatisticalCharaterizationDiscrete
in classStatisticalCharacterizationAggregator
- Parameters:
windowData
- The sequence of data/measurements to be aggregated, expressed as anIterable
ofMeasuringValue
s.- Returns:
- A
Measure
representing the result of the aggregation. - See Also:
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StatisticalCharacterizationAggregator.getDataMetric()
BaseMetricDescription.getScopeOfValidity()
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calculateStatisticalCharacterizationContinuous
protected javax.measure.Measure<Double,javax.measure.quantity.Quantity> calculateStatisticalCharacterizationContinuous(Iterable<org.palladiosimulator.measurementframework.MeasuringValue> windowData) Description copied from class:StatisticalCharacterizationAggregator
Method to be implemented by each subclass to calculate the statistical characterization of a sequence of measurements with a continuous scope of validity (i.e., to aggregate them).
This method is invoked withinStatisticalCharacterizationAggregator.aggregateData(Iterable, Amount, Amount, Optional)
.- Specified by:
calculateStatisticalCharacterizationContinuous
in classStatisticalCharacterizationAggregator
- Parameters:
windowData
- The sequence of data/measurements to be aggregated, expressed as anIterable
ofMeasuringValue
s.- Returns:
- A
Measure
representing the result of the aggregation. - See Also:
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StatisticalCharacterizationAggregator.getDataMetric()
BaseMetricDescription.getScopeOfValidity()
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