多级反馈队列调度算法Java
时间: 2023-07-10 13:29:47 浏览: 133
多级反馈队列调度算法是一种常见的CPU调度算法,可以实现更好的性能和响应时间。下面是一个简单的Java实现:
首先定义一个进程类,包含进程名、进程状态、进程优先级、进程需要的CPU时间片以及已经使用的CPU时间片等属性:
```
class Process {
String name;
int state;
int priority;
int needTime;
int usedTime;
public Process(String name, int priority, int needTime) {
this.name = name;
this.priority = priority;
this.needTime = needTime;
this.usedTime = 0;
this.state = 0;
}
}
```
然后定义一个多级反馈队列调度类,该类包含一个进程队列和多个队列,每个队列都有一个不同的优先级:
```
class MFQScheduler {
Queue<Process> queue;
Queue<Process>[] queues;
int[] quantum;
int time;
public MFQScheduler(int[] quantum) {
this.queue = new LinkedList<>();
this.queues = new LinkedList[quantum.length];
this.quantum = quantum;
for (int i = 0; i < quantum.length; i++) {
this.queues[i] = new LinkedList<>();
}
this.time = 0;
}
public void addProcess(Process process) {
this.queue.offer(process);
}
public void run() {
while (!this.queue.isEmpty() || !isEmpty()) {
if (!this.queue.isEmpty()) {
Process process = this.queue.poll();
this.queues[0].offer(process);
}
for (int i = 0; i < quantum.length; i++) {
if (!this.queues[i].isEmpty()) {
Process process = this.queues[i].poll();
int needTime = process.needTime - process.usedTime;
int sliceTime = Math.min(quantum[i], needTime);
// 模拟进程执行
process.state = 1;
process.usedTime += sliceTime;
if (process.usedTime == process.needTime) {
process.state = 2;
}
// 将剩余时间加入到下一个队列
if (i < quantum.length - 1 && sliceTime < needTime) {
process.priority++;
this.queues[i + 1].offer(process);
} else {
this.queue.offer(process);
}
}
}
this.time++;
}
}
public boolean isEmpty() {
for (int i = 0; i < quantum.length; i++) {
if (!this.queues[i].isEmpty()) {
return false;
}
}
return true;
}
}
```
在主函数中,我们可以创建一个多级反馈队列调度器,并添加一些进程:
```
public static void main(String[] args) {
int[] quantum = {1, 2, 4, 8};
MFQScheduler scheduler = new MFQScheduler(quantum);
Process p1 = new Process("p1", 0, 7);
Process p2 = new Process("p2", 1, 12);
Process p3 = new Process("p3", 2, 4);
Process p4 = new Process("p4", 3, 2);
Process p5 = new Process("p5", 0, 5);
scheduler.addProcess(p1);
scheduler.addProcess(p2);
scheduler.addProcess(p3);
scheduler.addProcess(p4);
scheduler.addProcess(p5);
scheduler.run();
}
```
运行后,可以看到每个进程的执行情况以及总共的执行时间。
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