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OptaPlanner solves planning problems.
This lightweight, embeddable planning engine implements powerful and scalable algorithms
to optimize business resource scheduling and planning.
This module contains the examples which demonstrate how to use it in a normal Java application.
/*
* Copyright 2010 JBoss Inc
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.optaplanner.examples.cloudbalancing.domain;
import com.thoughtworks.xstream.annotations.XStreamAlias;
import org.apache.commons.lang.builder.EqualsBuilder;
import org.apache.commons.lang.builder.HashCodeBuilder;
import org.optaplanner.core.api.domain.entity.PlanningEntity;
import org.optaplanner.core.api.domain.variable.PlanningVariable;
import org.optaplanner.examples.cloudbalancing.domain.solver.CloudComputerStrengthComparator;
import org.optaplanner.examples.cloudbalancing.domain.solver.CloudProcessDifficultyComparator;
import org.optaplanner.examples.common.domain.AbstractPersistable;
@PlanningEntity(difficultyComparatorClass = CloudProcessDifficultyComparator.class)
@XStreamAlias("CloudProcess")
public class CloudProcess extends AbstractPersistable {
private int requiredCpuPower; // in gigahertz
private int requiredMemory; // in gigabyte RAM
private int requiredNetworkBandwidth; // in gigabyte per hour
// Planning variables: changes during planning, between score calculations.
private CloudComputer computer;
public int getRequiredCpuPower() {
return requiredCpuPower;
}
public void setRequiredCpuPower(int requiredCpuPower) {
this.requiredCpuPower = requiredCpuPower;
}
public int getRequiredMemory() {
return requiredMemory;
}
public void setRequiredMemory(int requiredMemory) {
this.requiredMemory = requiredMemory;
}
public int getRequiredNetworkBandwidth() {
return requiredNetworkBandwidth;
}
public void setRequiredNetworkBandwidth(int requiredNetworkBandwidth) {
this.requiredNetworkBandwidth = requiredNetworkBandwidth;
}
@PlanningVariable(valueRangeProviderRefs = {"computerRange"},
strengthComparatorClass = CloudComputerStrengthComparator.class)
public CloudComputer getComputer() {
return computer;
}
public void setComputer(CloudComputer computer) {
this.computer = computer;
}
// ************************************************************************
// Complex methods
// ************************************************************************
public int getRequiredMultiplicand() {
return requiredCpuPower * requiredMemory * requiredNetworkBandwidth;
}
public String getLabel() {
return "Process " + id;
}
/**
* The normal methods {@link #equals(Object)} and {@link #hashCode()} cannot be used because the rule engine already
* requires them (for performance in their original state).
* @see #solutionHashCode()
*/
public boolean solutionEquals(Object o) {
if (this == o) {
return true;
} else if (o instanceof CloudProcess) {
CloudProcess other = (CloudProcess) o;
return new EqualsBuilder()
.append(id, other.id)
.append(computer, other.computer)
.isEquals();
} else {
return false;
}
}
/**
* The normal methods {@link #equals(Object)} and {@link #hashCode()} cannot be used because the rule engine already
* requires them (for performance in their original state).
* @see #solutionEquals(Object)
*/
public int solutionHashCode() {
return new HashCodeBuilder()
.append(id)
.append(computer)
.toHashCode();
}
@Override
public String toString() {
return getLabel() + "->" + computer;
}
}