Package org.palladiosimulator.experimentanalysis.windowaggregators

package org.palladiosimulator.experimentanalysis.windowaggregators

Related Packages

Package	Description
org.palladiosimulator.experimentanalysis	This package contains all classes related to the default (abstract) sliding window implementation.
org.palladiosimulator.experimentanalysis.utilizationfilter	This package contains all classes related to the utilization filter that can be applied to experiment results.

Classes

Class	Description
SlidingWindowAggregator	This class is the base class of all ISlidingWindowListener that aggregate/process the measurements collected by a SlidingWindow once it is full (i.e., it moved on). In terms of signal processing and time series analysis/statistics, this class can be thought of as a base class for any moving average implementation.
SlidingWindowExponentialSmoothingUtilizationAggregator	This class is a specialized SlidingWindowUtilizationAggregator implementation which calculates the utilization or, (which is more precisely in the scope of this class), the average load) of an active resource based on a sequence of (point in time, state of active resource) or (point in time, utilization of active resource) tuples collected by a SlidingWindow by employing the algorithm that is used in the Linux kernel to compute the average load (Details of this algorithm can be found in this paper, or more succinctly, in this presentation both due to Neil Gunther).
SlidingWindowUtilizationAggregator	This class is a SlidingWindowAggregator implementation which calculates the utilization of an active resource based on a sequence of (point in time, state of active resource) or (point in time, utilization of active resource) tuples collected by a SlidingWindow.