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62 lines
1.5 KiB
Java
62 lines
1.5 KiB
Java
package com.thealgorithms.scheduling;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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/**
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* GangScheduling groups related tasks (gangs) to run simultaneously on multiple processors.
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* All tasks in a gang are executed together or not at all.
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*
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* Use Case: Parallel computing environments where multiple threads of a program
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* need to run concurrently for optimal performance.
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*
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* @author Hardvan
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*/
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public final class GangScheduling {
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static class Gang {
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String name;
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List<String> tasks;
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Gang(String name) {
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this.name = name;
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this.tasks = new ArrayList<>();
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}
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void addTask(String task) {
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tasks.add(task);
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}
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List<String> getTasks() {
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return tasks;
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}
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}
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private final Map<String, Gang> gangs;
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public GangScheduling() {
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gangs = new HashMap<>();
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}
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public void addGang(String gangName) {
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gangs.putIfAbsent(gangName, new Gang(gangName));
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}
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public void addTaskToGang(String gangName, String task) {
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Gang gang = gangs.get(gangName);
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if (gang != null) {
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gang.addTask(task);
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}
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}
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public Map<String, List<String>> getGangSchedules() {
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Map<String, List<String>> schedules = new HashMap<>();
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for (Gang gang : gangs.values()) {
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schedules.put(gang.name, gang.getTasks());
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}
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return schedules;
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}
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}
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