org.optaplanner.examples.cloudbalancing.optional.score.CloudBalancingMapBasedEasyScoreCalculator 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.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;

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

public class CloudBalancingMapBasedEasyScoreCalculator implements EasyScoreCalculator {

    @Override
    public HardSoftScore calculateScore(CloudBalance cloudBalance) {
        int computerListSize = cloudBalance.getComputerList().size();
        Map cpuPowerUsageMap = new HashMap<>(computerListSize);
        Map memoryUsageMap = new HashMap<>(computerListSize);
        Map networkBandwidthUsageMap = new HashMap<>(computerListSize);
        for (CloudComputer computer : cloudBalance.getComputerList()) {
            cpuPowerUsageMap.put(computer, 0);
            memoryUsageMap.put(computer, 0);
            networkBandwidthUsageMap.put(computer, 0);
        }
        Set usedComputerSet = new HashSet<>(computerListSize);

        visitProcessList(cpuPowerUsageMap, memoryUsageMap, networkBandwidthUsageMap,
                usedComputerSet, cloudBalance.getProcessList());

        int hardScore = sumHardScore(cpuPowerUsageMap, memoryUsageMap, networkBandwidthUsageMap);
        int softScore = sumSoftScore(usedComputerSet);

        return HardSoftScore.of(hardScore, softScore);
    }

    private void visitProcessList(Map cpuPowerUsageMap,
            Map memoryUsageMap, Map networkBandwidthUsageMap,
            Set usedComputerSet, List processList) {
        // We loop through the processList only once for performance
        for (CloudProcess process : processList) {
            CloudComputer computer = process.getComputer();
            if (computer != null) {
                int cpuPowerUsage = cpuPowerUsageMap.get(computer) + process.getRequiredCpuPower();
                cpuPowerUsageMap.put(computer, cpuPowerUsage);
                int memoryUsage = memoryUsageMap.get(computer) + process.getRequiredMemory();
                memoryUsageMap.put(computer, memoryUsage);
                int networkBandwidthUsage = networkBandwidthUsageMap.get(computer) + process.getRequiredNetworkBandwidth();
                networkBandwidthUsageMap.put(computer, networkBandwidthUsage);
                usedComputerSet.add(computer);
            }
        }
    }

    private int sumHardScore(Map cpuPowerUsageMap, Map memoryUsageMap,
            Map networkBandwidthUsageMap) {
        int hardScore = 0;
        for (Map.Entry usageEntry : cpuPowerUsageMap.entrySet()) {
            CloudComputer computer = usageEntry.getKey();
            int cpuPowerAvailable = computer.getCpuPower() - usageEntry.getValue();
            if (cpuPowerAvailable < 0) {
                hardScore += cpuPowerAvailable;
            }
        }
        for (Map.Entry usageEntry : memoryUsageMap.entrySet()) {
            CloudComputer computer = usageEntry.getKey();
            int memoryAvailable = computer.getMemory() - usageEntry.getValue();
            if (memoryAvailable < 0) {
                hardScore += memoryAvailable;
            }
        }
        for (Map.Entry usageEntry : networkBandwidthUsageMap.entrySet()) {
            CloudComputer computer = usageEntry.getKey();
            int networkBandwidthAvailable = computer.getNetworkBandwidth() - usageEntry.getValue();
            if (networkBandwidthAvailable < 0) {
                hardScore += networkBandwidthAvailable;
            }
        }
        return hardScore;
    }

    private int sumSoftScore(Set usedComputerSet) {
        int softScore = 0;
        for (CloudComputer usedComputer : usedComputerSet) {
            softScore -= usedComputer.getCost();
        }
        return softScore;
    }

}