org.optaplanner.examples.cloudbalancing.optional.score.CloudBalancingIncrementalScoreCalculator Maven / Gradle / Ivy

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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.
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/*
 * Copyright 2016 Red Hat, Inc. and/or its affiliates.
 *
 * 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.optional.score;

import java.util.HashMap;
import java.util.Map;

import org.optaplanner.core.api.score.buildin.hardsoft.HardSoftScore;
import org.optaplanner.core.impl.score.director.incremental.AbstractIncrementalScoreCalculator;
import org.optaplanner.examples.cloudbalancing.domain.CloudBalance;
import org.optaplanner.examples.cloudbalancing.domain.CloudComputer;
import org.optaplanner.examples.cloudbalancing.domain.CloudProcess;

public class CloudBalancingIncrementalScoreCalculator extends AbstractIncrementalScoreCalculator {

    private Map cpuPowerUsageMap;
    private Map memoryUsageMap;
    private Map networkBandwidthUsageMap;
    private Map processCountMap;

    private int hardScore;
    private int softScore;

    @Override
    public void resetWorkingSolution(CloudBalance cloudBalance) {
        int computerListSize = cloudBalance.getComputerList().size();
        cpuPowerUsageMap = new HashMap<>(computerListSize);
        memoryUsageMap = new HashMap<>(computerListSize);
        networkBandwidthUsageMap = new HashMap<>(computerListSize);
        processCountMap = new HashMap<>(computerListSize);
        for (CloudComputer computer : cloudBalance.getComputerList()) {
            cpuPowerUsageMap.put(computer, 0);
            memoryUsageMap.put(computer, 0);
            networkBandwidthUsageMap.put(computer, 0);
            processCountMap.put(computer, 0);
        }
        hardScore = 0;
        softScore = 0;
        for (CloudProcess process : cloudBalance.getProcessList()) {
            insert(process);
        }
    }

    @Override
    public void beforeEntityAdded(Object entity) {
        // Do nothing
    }

    @Override
    public void afterEntityAdded(Object entity) {
        // TODO the maps should probably be adjusted
        insert((CloudProcess) entity);
    }

    @Override
    public void beforeVariableChanged(Object entity, String variableName) {
        retract((CloudProcess) entity);
    }

    @Override
    public void afterVariableChanged(Object entity, String variableName) {
        insert((CloudProcess) entity);
    }

    @Override
    public void beforeEntityRemoved(Object entity) {
        retract((CloudProcess) entity);
    }

    @Override
    public void afterEntityRemoved(Object entity) {
        // Do nothing
        // TODO the maps should probably be adjusted
    }

    private void insert(CloudProcess process) {
        CloudComputer computer = process.getComputer();
        if (computer != null) {
            int cpuPower = computer.getCpuPower();
            int oldCpuPowerUsage = cpuPowerUsageMap.get(computer);
            int oldCpuPowerAvailable = cpuPower - oldCpuPowerUsage;
            int newCpuPowerUsage = oldCpuPowerUsage + process.getRequiredCpuPower();
            int newCpuPowerAvailable = cpuPower - newCpuPowerUsage;
            hardScore += Math.min(newCpuPowerAvailable, 0) - Math.min(oldCpuPowerAvailable, 0);
            cpuPowerUsageMap.put(computer, newCpuPowerUsage);

            int memory = computer.getMemory();
            int oldMemoryUsage = memoryUsageMap.get(computer);
            int oldMemoryAvailable = memory - oldMemoryUsage;
            int newMemoryUsage = oldMemoryUsage + process.getRequiredMemory();
            int newMemoryAvailable = memory - newMemoryUsage;
            hardScore += Math.min(newMemoryAvailable, 0) - Math.min(oldMemoryAvailable, 0);
            memoryUsageMap.put(computer, newMemoryUsage);

            int networkBandwidth = computer.getNetworkBandwidth();
            int oldNetworkBandwidthUsage = networkBandwidthUsageMap.get(computer);
            int oldNetworkBandwidthAvailable = networkBandwidth - oldNetworkBandwidthUsage;
            int newNetworkBandwidthUsage = oldNetworkBandwidthUsage + process.getRequiredNetworkBandwidth();
            int newNetworkBandwidthAvailable = networkBandwidth - newNetworkBandwidthUsage;
            hardScore += Math.min(newNetworkBandwidthAvailable, 0) - Math.min(oldNetworkBandwidthAvailable, 0);
            networkBandwidthUsageMap.put(computer, newNetworkBandwidthUsage);

            int oldProcessCount = processCountMap.get(computer);
            if (oldProcessCount == 0) {
                softScore -= computer.getCost();
            }
            int newProcessCount = oldProcessCount + 1;
            processCountMap.put(computer, newProcessCount);
        }
    }

    private void retract(CloudProcess process) {
        CloudComputer computer = process.getComputer();
        if (computer != null) {
            int cpuPower = computer.getCpuPower();
            int oldCpuPowerUsage = cpuPowerUsageMap.get(computer);
            int oldCpuPowerAvailable = cpuPower - oldCpuPowerUsage;
            int newCpuPowerUsage = oldCpuPowerUsage - process.getRequiredCpuPower();
            int newCpuPowerAvailable = cpuPower - newCpuPowerUsage;
            hardScore += Math.min(newCpuPowerAvailable, 0) - Math.min(oldCpuPowerAvailable, 0);
            cpuPowerUsageMap.put(computer, newCpuPowerUsage);

            int memory = computer.getMemory();
            int oldMemoryUsage = memoryUsageMap.get(computer);
            int oldMemoryAvailable = memory - oldMemoryUsage;
            int newMemoryUsage = oldMemoryUsage - process.getRequiredMemory();
            int newMemoryAvailable = memory - newMemoryUsage;
            hardScore += Math.min(newMemoryAvailable, 0) - Math.min(oldMemoryAvailable, 0);
            memoryUsageMap.put(computer, newMemoryUsage);

            int networkBandwidth = computer.getNetworkBandwidth();
            int oldNetworkBandwidthUsage = networkBandwidthUsageMap.get(computer);
            int oldNetworkBandwidthAvailable = networkBandwidth - oldNetworkBandwidthUsage;
            int newNetworkBandwidthUsage = oldNetworkBandwidthUsage - process.getRequiredNetworkBandwidth();
            int newNetworkBandwidthAvailable = networkBandwidth - newNetworkBandwidthUsage;
            hardScore += Math.min(newNetworkBandwidthAvailable, 0) - Math.min(oldNetworkBandwidthAvailable, 0);
            networkBandwidthUsageMap.put(computer, newNetworkBandwidthUsage);

            int oldProcessCount = processCountMap.get(computer);
            int newProcessCount = oldProcessCount - 1;
            if (newProcessCount == 0) {
                softScore += computer.getCost();
            }
            processCountMap.put(computer, newProcessCount);
        }
    }

    @Override
    public HardSoftScore calculateScore() {
        return HardSoftScore.of(hardScore, softScore);
    }

}