kieker.tools.tslib.forecast.naive
Class NaiveForecaster

java.lang.Object
  kieker.tools.tslib.forecast.AbstractForecaster<Double>
      kieker.tools.tslib.forecast.AbstractRForecaster
          kieker.tools.tslib.forecast.naive.NaiveForecaster

All Implemented Interfaces:

IForecaster<Double>

public class NaiveForecaster
extends AbstractRForecaster

This is one of the forecasters used in the research paper on Self-adaptive workload classification and forecasting for proactive resource provisioning (http://dx.doi.org/10.1002/cpe.3224), authored by Herbst et al.

Since:

1.10

Author:

Nikolas Herbst The naïve forecast considers only the value of the most recent observation assuming that this value has the highest probability for the next forecast point. Horizon: very short term forecast (1-2 points) Overhead: nearly none O(1)

Constructor Summary

NaiveForecaster(ITimeSeries<Double> historyTimeseries)

NaiveForecaster(ITimeSeries<Double> historyTimeseries, int confidenceLevel)

Method Summary

Methods inherited from class kieker.tools.tslib.forecast.AbstractRForecaster

forecast, removeNullValues

Methods inherited from class kieker.tools.tslib.forecast.AbstractForecaster

getConfidenceLevel, getTsOriginal

Methods inherited from class java.lang.Object

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

Constructor Detail

NaiveForecaster

public NaiveForecaster(ITimeSeries<Double> historyTimeseries)

Parameters:

historyTimeseries - timeseries used by forecating algo

NaiveForecaster

public NaiveForecaster(ITimeSeries<Double> historyTimeseries,
                       int confidenceLevel)

Parameters:

historyTimeseries - timeseries used by forecating algo

confidenceLevel - value of confidence