Package org.unifi.mecvirtualresourceallocation.evaluation

Class EnergyConsumptionEvaluator

java.lang.Object

org.unifi.mecvirtualresourceallocation.evaluation.EnergyConsumptionEvaluator

All Implemented Interfaces:

Evaluator

Direct Known Subclasses:

EnergyConsumptionComparisonEvaluator, EnergyConsumptionReductionEvaluator

public abstract class EnergyConsumptionEvaluator
extends Object
implements Evaluator

Abstract evaluator for measuring energy consumption in resource allocation.

Field Summary

Fields inherited from interface org.unifi.mecvirtualresourceallocation.evaluation.Evaluator

SEED

Constructor Summary

Constructors

Constructor	Description
EnergyConsumptionEvaluator()

Method Summary

Modifier and Type	Method	Description
void	execute(List<Integer> numVertices, int numExecutions, int delta)	Executes the evaluation of energy consumption.
protected abstract void	plotResults(Map<Integer,BigDecimal> avgWeightsSequential, Map<Integer,BigDecimal> avgWeightsLocal)	Plots the results of the energy consumption evaluation.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.unifi.mecvirtualresourceallocation.evaluation.Evaluator

execute

Constructor Details

EnergyConsumptionEvaluator

public EnergyConsumptionEvaluator()

Method Details

execute

public void execute(List<Integer> numVertices,
 int numExecutions,
 int delta)

Executes the evaluation of energy consumption.

Specified by:

execute in interface Evaluator

Parameters:

numVertices - a list containing the number of vertices for each hypergraph to be evaluated

numExecutions - the number of times the evaluation is executed

delta - the delta (δ) value used for generating hypergraphs

plotResults

protected abstract void plotResults(Map<Integer,BigDecimal> avgWeightsSequential,
 Map<Integer,BigDecimal> avgWeightsLocal)

Plots the results of the energy consumption evaluation.

Parameters:

avgWeightsSequential - the average reduced weights for the SequentialSearchStrategy

avgWeightsLocal - the average reduced weights for the LocalSearchStrategy