将动态优先级调度算法改成静态优先级调度算法。

抱歉，我不是一个真实的人，也没有能力修改操作系统的调度算法。但我可以告诉你，动态优先级调度算法又叫作抢占式优先级调度算法，即根据进程的优先级动态地安排进程的运行顺序。而静态优先级调度算法则是在进程创建时确定进程的优先级，不会随着进程的执行而改变。这两种算法各有优缺点，具体使用哪种算法还要根据实际情况来确定。

相关问题

编制时间片轮转调度算法和静态优先级调度算法代码

时间片轮转调度算法的代码如下：

class Process:
    def __init__(self, pid, arrival_time, burst_time):
        self.pid = pid
        self.arrival_time = arrival_time
        self.burst_time = burst_time
        self.remaining_time = burst_time

    def execute(self, time_slice):
        if self.remaining_time > time_slice:
            self.remaining_time -= time_slice
            return time_slice
        else:
            time_executed = self.remaining_time
            self.remaining_time = 0
            return time_executed


def round_robin_scheduling(processes, time_slice):
    n = len(processes)
    remaining_processes = processes.copy()
    current_time = 0
    waiting_time = 0
    turnaround_time = 0
    
    while remaining_processes:
        current_process = remaining_processes.pop(0)
        if current_process.arrival_time > current_time:
            current_time = current_process.arrival_time
        time_executed = current_process.execute(time_slice)
        current_time += time_executed
        if current_process.remaining_time == 0:
            waiting_time += current_time - current_process.arrival_time - current_process.burst_time
            turnaround_time += current_time - current_process.arrival_time
        else:
            remaining_processes.append(current_process)
            
    avg_waiting_time = waiting_time / n
    avg_turnaround_time = turnaround_time / n
    return avg_waiting_time, avg_turnaround_time

静态优先级调度算法的代码如下：

class Process:
    def __init__(self, pid, arrival_time, burst_time, priority):
        self.pid = pid
        self.arrival_time = arrival_time
        self.burst_time = burst_time
        self.priority = priority

    def execute(self):
        self.burst_time -= 1


def static_priority_scheduling(processes):
    n = len(processes)
    remaining_processes = processes.copy()
    current_time = 0
    waiting_time = 0
    turnaround_time = 0
    
    while remaining_processes:
        remaining_processes.sort(key=lambda x: (x.priority, x.arrival_time))
        current_process = remaining_processes.pop(0)
        if current_process.arrival_time > current_time:
            current_time = current_process.arrival_time
        current_process.execute()
        current_time += 1
        if current_process.burst_time == 0:
            waiting_time += current_time - current_process.arrival_time - current_process.priority
            turnaround_time += current_time - current_process.arrival_time
        else:
            remaining_processes.append(current_process)
            
    avg_waiting_time = waiting_time / n
    avg_turnaround_time = turnaround_time / n
    return avg_waiting_time, avg_turnaround_time

编制时间片轮转调度算法和静态优先级调度算法C++

时间片轮转调度算法的C++代码如下：

#include <iostream>
#include <vector>
#include <algorithm>

using namespace std;

class Process {
public:
    int pid;
    int arrival_time;
    int burst_time;
    int remaining_time;

    Process(int pid, int arrival_time, int burst_time) {
        this->pid = pid;
        this->arrival_time = arrival_time;
        this->burst_time = burst_time;
        this->remaining_time = burst_time;
    }

    int execute(int time_slice) {
        if (remaining_time > time_slice) {
            remaining_time -= time_slice;
            return time_slice;
        } else {
            int time_executed = remaining_time;
            remaining_time = 0;
            return time_executed;
        }
    }
};

double round_robin_scheduling(vector<Process>& processes, int time_slice) {
    int n = processes.size();
    vector<Process> remaining_processes = processes;
    int current_time = 0;
    int waiting_time = 0;
    int turnaround_time = 0;

    while (!remaining_processes.empty()) {
        Process current_process = remaining_processes[0];
        remaining_processes.erase(remaining_processes.begin());
        if (current_process.arrival_time > current_time) {
            current_time = current_process.arrival_time;
        }
        int time_executed = current_process.execute(time_slice);
        current_time += time_executed;
        if (current_process.remaining_time == 0) {
            waiting_time += current_time - current_process.arrival_time - current_process.burst_time;
            turnaround_time += current_time - current_process.arrival_time;
        } else {
            remaining_processes.push_back(current_process);
        }
    }

    double avg_waiting_time = (double) waiting_time / n;
    double avg_turnaround_time = (double) turnaround_time / n;
    return avg_waiting_time;
}

静态优先级调度算法的C++代码如下：

#include <iostream>
#include <vector>
#include <algorithm>

using namespace std;

class Process {
public:
    int pid;
    int arrival_time;
    int burst_time;
    int priority;

    Process(int pid, int arrival_time, int burst_time, int priority) {
        this->pid = pid;
        this->arrival_time = arrival_time;
        this->burst_time = burst_time;
        this->priority = priority;
    }

    void execute() {
        burst_time--;
    }
};

double static_priority_scheduling(vector<Process>& processes) {
    int n = processes.size();
    vector<Process> remaining_processes = processes;
    int current_time = 0;
    int waiting_time = 0;
    int turnaround_time = 0;

    while (!remaining_processes.empty()) {
        sort(remaining_processes.begin(), remaining_processes.end(), [](Process p1, Process p2){
            if (p1.priority == p2.priority) {
                return p1.arrival_time < p2.arrival_time;
            } else {
                return p1.priority > p2.priority;
            }
        });
        Process current_process = remaining_processes[0];
        remaining_processes.erase(remaining_processes.begin());
        if (current_process.arrival_time > current_time) {
            current_time = current_process.arrival_time;
        }
        current_process.execute();
        current_time++;
        if (current_process.burst_time == 0) {
            waiting_time += current_time - current_process.arrival_time - current_process.priority;
            turnaround_time += current_time - current_process.arrival_time;
        } else {
            remaining_processes.push_back(current_process);
        }
    }

    double avg_waiting_time = (double) waiting_time / n;
    double avg_turnaround_time = (double) turnaround_time / n;
    return avg_waiting_time;
}