public class RollingTimeWindowMeanEnricher<T extends java.lang.Number> extends AbstractTypeTransformingEnricher<T,java.lang.Double>
Sensor data into a rolling average based on a time window.
All values within the window are weighted or discarded based on the timestamps associated with
them (discards occur when a new value is added or an average is requested)
This will not extrapolate figures - it is assumed a value is valid and correct for the entire time period between it and the previous value. Normally, the average attribute is only updated when a new value arrives so it can give a fully informed average, but there is a danger of this going stale.
When an average is requested, it is likely there will be a segment of the window for which there isn't a value. Instead of extrapolating a value and providing different extrapolation techniques, the average is reported with a confidence value which reflects the fraction of the time window for which the values were valid.
Consumers of the average may ignore the confidence value and just use the last known average. They could multiply the returned value by the confidence value to get a decay-type behavior as the window empties. A third alternative is to, at a certain confidence threshold, report that the average is no longer meaningful.
The default average when no data has been received is 0, with a confidence of 0
| Modifier and Type | Class and Description |
|---|---|
static class |
RollingTimeWindowMeanEnricher.ConfidenceQualifiedNumber |
BrooklynObject.TagSupportSUPPRESS_DUPLICATESNOOP| Constructor and Description |
|---|
RollingTimeWindowMeanEnricher() |
RollingTimeWindowMeanEnricher(Entity producer,
AttributeSensor<T> source,
AttributeSensor<java.lang.Double> target,
Duration timePeriod) |
RollingTimeWindowMeanEnricher(Entity producer,
AttributeSensor<T> source,
AttributeSensor<java.lang.Double> target,
long timePeriod)
Deprecated.
since 0.6.0 use Duration parameter rather than long with millis
|
| Modifier and Type | Method and Description |
|---|---|
RollingTimeWindowMeanEnricher.ConfidenceQualifiedNumber |
getAverage() |
RollingTimeWindowMeanEnricher.ConfidenceQualifiedNumber |
getAverage(long now) |
void |
onEvent(SensorEvent<T> event)
The
SensorEvent handler method. |
void |
onEvent(SensorEvent<T> event,
long eventTime) |
setEntitygetEnricherType, getRebindSupportconfigure, destroy, getAllConfig, getConfig, getConfigMap, getDisplayName, getName, getUniqueTag, isDestroyed, isRunning, setConfig, setDisplayName, setName, tags, toStringgetCatalogItemId, getId, getManagementContext, getTagSupport, init, rebind, setCatalogItemId, setManagementContextequals, getClass, hashCode, notify, notifyAll, wait, wait, waitgetAllConfig, getConfig, getId, getName, setConfiggetUniqueTag, isDestroyed, isRunninggetCatalogItemId, getDisplayName, getTagSupport, tagssetCatalogItemIdpublic RollingTimeWindowMeanEnricher()
public RollingTimeWindowMeanEnricher(Entity producer, AttributeSensor<T> source, AttributeSensor<java.lang.Double> target, Duration timePeriod)
public RollingTimeWindowMeanEnricher(Entity producer, AttributeSensor<T> source, AttributeSensor<java.lang.Double> target, long timePeriod)
public void onEvent(SensorEvent<T> event)
SensorEventListenerSensorEvent handler method.public void onEvent(SensorEvent<T> event, long eventTime)
public RollingTimeWindowMeanEnricher.ConfidenceQualifiedNumber getAverage()
public RollingTimeWindowMeanEnricher.ConfidenceQualifiedNumber getAverage(long now)