在进程结构中增加进程到达时间。 使用短进程优先法则、最短剩余时间优先法则对上述进程的创建和调度实验进行改进。 计算出每种调度算法的周转时间和带权周转时间。

感谢您的提问，针对您的问题，我可以给出一些思路供您参考。

首先，进程的到达时间是进程调度算法的重要参考指标之一，可以通过记录进程的创建时间来实现。其次，短进程优先和最短剩余时间优先是两种常见的进程调度算法，可以根据进程的服务时间来进行调度，提高系统的运行效率和响应速度。

接下来，您需要对给定的进程进行调度实验，并计算出每种调度算法的周转时间和带权周转时间。周转时间是指一个进程从开始运行到结束的时间差，带权周转时间是周转时间与进程服务时间的比值。

具体实现方式可以参考以下步骤：

1.根据进程到达时间和服务时间，按照短进程优先或最短剩余时间优先原则，选择要运行的进程；

2.记录各个进程的开始运行时间、完成时间和周转时间等信息；

3.根据周转时间和带权周转时间的计算公式，计算出每个进程的周转时间和带权周转时间；

4.最后，将实验结果进行整理和分析，得出各种调度算法的比较结论。

以上是一个简单的操作流程，具体实现方式可能因实际情况而异。希望对您有所帮助。

相关问题

14.试比较短进程优先和最短剩余时间优先这两种进程调度算法。

这是一个技术问题，我可以回答。短进程优先调度算法是指优先调度执行时间短的进程，而最短剩余时间优先调度算法则是在短进程优先的基础上，根据进程的剩余运行时间来进行调度，即优先调度剩余时间最短的进程。最短剩余时间优先调度算法能够更为准确地反映进程的运行情况，但会导致更频繁的进程切换，影响系统的运行效率。

代码实现时间片轮转调度、优先数调度、最短进程优先、最短剩余时间优先四种调度方法

时间片轮转调度：

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

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


def schedule_rr(processes, quantum):
    time = 0
    num_processes = len(processes)
    queue = processes[:]
    completed_processes = []
    current_process = None

    while len(completed_processes) < num_processes:
        # add arriving processes to the queue
        for p in processes:
            if p.arrival_time == time and p not in queue and p not in completed_processes:
                queue.append(p)

        # get next process to execute
        if not current_process or current_process.remaining_time == 0:
            if queue:
                current_process = queue.pop(0)
            else:
                time += 1
                continue

        # execute current process for a quantum
        time_executed = current_process.execute(quantum)
        time += time_executed

        # check if process has completed
        if current_process.remaining_time == 0:
            completed_processes.append(current_process)

    return completed_processes

优先数调度：

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

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


def schedule_priority(processes):
    time = 0
    num_processes = len(processes)
    queue = processes[:]
    completed_processes = []
    current_process = None

    while len(completed_processes) < num_processes:
        # add arriving processes to the queue
        for p in processes:
            if p.arrival_time == time and p not in queue and p not in completed_processes:
                queue.append(p)

        # get next process to execute
        if not current_process or current_process.remaining_time == 0:
            if queue:
                queue.sort(key=lambda p: p.priority)
                current_process = queue.pop(0)
            else:
                time += 1
                continue

        # execute current process
        current_process.execute()
        time += 1

        # check if process has completed
        if current_process.remaining_time == 0:
            completed_processes.append(current_process)

    return completed_processes

最短进程优先：

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

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


def schedule_sjf(processes):
    time = 0
    num_processes = len(processes)
    queue = processes[:]
    completed_processes = []
    current_process = None

    while len(completed_processes) < num_processes:
        # add arriving processes to the queue
        for p in processes:
            if p.arrival_time == time and p not in queue and p not in completed_processes:
                queue.append(p)

        # get next process to execute
        if not current_process or current_process.remaining_time == 0:
            if queue:
                queue.sort(key=lambda p: p.burst_time)
                current_process = queue.pop(0)
            else:
                time += 1
                continue

        # execute current process
        current_process.execute()
        time += 1

        # check if process has completed
        if current_process.remaining_time == 0:
            completed_processes.append(current_process)

    return completed_processes

最短剩余时间优先：

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

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


def schedule_srt(processes):
    time = 0
    num_processes = len(processes)
    queue = processes[:]
    completed_processes = []
    current_process = None

    while len(completed_processes) < num_processes:
        # add arriving processes to the queue
        for p in processes:
            if p.arrival_time == time and p not in queue and p not in completed_processes:
                queue.append(p)

        # get next process to execute
        if not current_process or current_process.remaining_time == 0:
            if queue:
                queue.sort(key=lambda p: p.remaining_time)
                current_process = queue.pop(0)
            else:
                time += 1
                continue

        # execute current process
        current_process.execute()
        time += 1

        # check if process has completed
        if current_process.remaining_time == 0:
            completed_processes.append(current_process)

    return completed_processes