Protobuf serializer for Akka.Cluster.Metrics.Serialization.IClusterMetricMessage types.
The snapshot of current sampled health metrics for any monitored process. Collected and gossipped at regular intervals for dynamic cluster management strategies.
Equality of NodeMetrics is based on its address.
The exponentially weighted moving average (EWMA) approach captures short-term movements in volatility for a conditional volatility forecasting model. By virtue of its alpha, or decay factor, this provides a statistical streaming data model that is exponentially biased towards newer entries.
An EWMA only needs the most recent forecast value to be kept, as opposed to a standard moving average model.
Parameter 'alpha' decay factor, sets how quickly the exponential weighting decays for past data compared to new data, see http://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
Parameter 'value' the current exponentially weighted moving average, e.g. Y(n - 1), or, the sampled value resulting from the previous smoothing iteration. This value is always used as the previous EWMA to calculate the new EWMA.
Equality of Metric is based on its name index.