0

0

循环调度的C程序

王林

王林

发布时间:2023-09-25 17:09:02

|

916人浏览过

|

来源于tutorialspoint

转载

we are given with the n processes with their corresponding burst time and time quantum and the task is to find the average waiting time and average turnaround time and display the result.

What is Round Robin Scheduling?

Round robin is a CPU scheduling algorithm that is designed especially for time sharing systems. It is more like a FCFS scheduling algorithm with one change that in Round Robin processes are bounded with a quantum time size. A small unit of time is known as Time Quantum or Time Slice. Time quantum can range from 10 to 100 milliseconds. CPU treat ready queue as a circular queue for executing the processes with given time slice. It follows preemptive approach because fixed time are allocated to processes. The only disadvantage of it is overhead of context switching.

What we need to calculate?

Completion Time is the time required by the process to complete its execution

Turnaround Time is the time interval between the submission of a process and its completion.

Turnaround Time = completion of a process – submission of a process

Waiting Time is the difference between turnaround time and burst time

Waiting Time = turnaround time – burst time

Example

We are given with 3 processes P1, P2 and P3 with their corresponding burst time as 24, 3 and 3

ModelGate
ModelGate

一站式AI模型管理与调用工具

下载
Process Burst Time
P1 24
P2 3
P3 3

Since the time quantum is of 4 milliseconds, process P1 gets the first 4 milliseconds but it requires another 20 millisecond to complete its execution but CPU will preempt it after the first time quantum and CPU will be allocated to the next process P2. As shown in the table, Process P2 requires only 3 milliseconds to complete its execution so CPU will be allocated for time quantum of 3 milliseconds only instead of 4 milliseconds.

循环调度的C程序

Using the Gantt chart, Average waiting time is calculated as given below −

Average waiting time = 17/3 = 5.66 milliseconds

Algorithm

Start
Step 1-> In function int turnarroundtime(int processes[], int n, int bt[], int wt[], int tat[])
   Loop For i = 0 and i < n and i++
      Set tat[i] = bt[i] + wt[i]
   return 1
Step 2-> In function int waitingtime(int processes[], int n, int bt[], int wt[], int quantum)
Declare rem_bt[n]
   Loop For i = 0 and i < n and i++
      Set rem_bt[i] = bt[i]
      Set t = 0
   Loop While (1)
      Set done = true
   Loop For i = 0 and i < n and i++
      If rem_bt[i] > 0 then,
         Set done = false
      If rem_bt[i] > quantum then,
         Set t = t + quantum
         Set rem_bt[i] = rem_bt[i] - quantum
      Else
         Set t = t + rem_bt[i]
         Set wt[i] = t - bt[i]
         Set rem_bt[i] = 0
      If done == true then,
   Break
Step 3->In function int findavgTime(int processes[], int n, int bt[], int quantum)
   Declare and initialize wt[n], tat[n], total_wt = 0, total_tat = 0
   Call function waitingtime(processes, n, bt, wt, quantum)
   Call function turnarroundtime(processes, n, bt, wt, tat)
   Print "Processes Burst Time Waiting Time turnaround time "
   Loop For i=0 and i<n and i++
   Set total_wt = total_wt + wt[i]
   Set total_tat = total_tat + tat[i]
   Print the value i+1, bt[i], wt[i], tat[i]
   Print "Average waiting time = total_wt / n
   Print "Average turnaround time =total_tat / n
Step 4-> In function int main()
   Delcare and initialize processes[] = { 1, 2, 3}
   Declare and initialize n = sizeof processes / sizeof processes[0]
   Declare and initialize burst_time[] = {8, 6, 12}
   Set quantum = 2
   Call function findavgTime(processes, n, burst_time, quantum)

Example

 实例演示

#include <stdio.h>
// Function to calculate turn around time
int turnarroundtime(int processes[], int n,
int bt[], int wt[], int tat[]) {
   // calculating turnaround time by adding
   // bt[i] + wt[i]
   for (int i = 0; i < n ; i++)
   tat[i] = bt[i] + wt[i];
   return 1;
}
// Function to find the waiting time for all
// processes
int waitingtime(int processes[], int n,
int bt[], int wt[], int quantum) {
   // Make a copy of burst times bt[] to store remaining
   // burst times.
   int rem_bt[n];
   for (int i = 0 ; i < n ; i++)
   rem_bt[i] = bt[i];
   int t = 0; // Current time
   // Keep traversing processes in round robin manner
   // until all of them are not done.
   while (1) {
      bool done = true;
      // Traverse all processes one by one repeatedly
      for (int i = 0 ; i < n; i++) {
         // If burst time of a process is greater than 0
         // then only need to process further
         if (rem_bt[i] > 0) {
            done = false; // There is a pending process
            if (rem_bt[i] > quantum) {
               // Increase the value of t i.e. shows
               // how much time a process has been processed
               t += quantum;
               // Decrease the burst_time of current process
               // by quantum
               rem_bt[i] -= quantum;
            }
            // If burst time is smaller than or equal to
            // quantum. Last cycle for this process
            else {
               // Increase the value of t i.e. shows
               // how much time a process has been processed
               t = t + rem_bt[i];
               // Waiting time is current time minus time
               // used by this process
               wt[i] = t - bt[i];
               // As the process gets fully executed
               // make its remaining burst time = 0
               rem_bt[i] = 0;
            }
         }
      }
      // If all processes are done
      if (done == true)
         break;
   }
   return 1;
}
// Function to calculate average time
int findavgTime(int processes[], int n, int bt[],
int quantum) {
   int wt[n], tat[n], total_wt = 0, total_tat = 0;
   // Function to find waiting time of all processes
   waitingtime(processes, n, bt, wt, quantum);
   // Function to find turn around time for all processes
   turnarroundtime(processes, n, bt, wt, tat);
   // Display processes along with all details
   printf("Processes Burst Time Waiting Time turnaround time</p><p>");
   // Calculate total waiting time and total turn
   // around time
   for (int i=0; i<n; i++) {
      total_wt = total_wt + wt[i];
      total_tat = total_tat + tat[i];
      printf("\t%d\t\t\t%d\t\t\t%d\t\t\t%d</p><p>",i+1, bt[i], wt[i], tat[i]);
   }
   printf("Average waiting time = %f", (float)total_wt / (float)n);
   printf("</p><p>Average turnaround time = %f</p><p>", (float)total_tat / (float)n);
   return 1;
}
// main function
int main() {
   // process id's
   int processes[] = { 1, 2, 3};
   int n = sizeof processes / sizeof processes[0];
   // Burst time of all processes
   int burst_time[] = {8, 6, 12};
   // Time quantum
   int quantum = 2;
   findavgTime(processes, n, burst_time, quantum);
   return 0;
}

输出

循环调度的C程序

热门AI工具

更多
DeepSeek
DeepSeek

幻方量化公司旗下的开源大模型平台

豆包大模型
豆包大模型

字节跳动自主研发的一系列大型语言模型

WorkBuddy
WorkBuddy

腾讯云推出的AI原生桌面智能体工作台

腾讯元宝
腾讯元宝

腾讯混元平台推出的AI助手

文心一言
文心一言

文心一言是百度开发的AI聊天机器人,通过对话可以生成各种形式的内容。

讯飞写作
讯飞写作

基于讯飞星火大模型的AI写作工具,可以快速生成新闻稿件、品宣文案、工作总结、心得体会等各种文文稿

即梦AI
即梦AI

一站式AI创作平台,免费AI图片和视频生成。

ChatGPT
ChatGPT

最最强大的AI聊天机器人程序,ChatGPT不单是聊天机器人,还能进行撰写邮件、视频脚本、文案、翻译、代码等任务。

相关专题

更多
TypeScript类型系统进阶与大型前端项目实践
TypeScript类型系统进阶与大型前端项目实践

本专题围绕 TypeScript 在大型前端项目中的应用展开,深入讲解类型系统设计与工程化开发方法。内容包括泛型与高级类型、类型推断机制、声明文件编写、模块化结构设计以及代码规范管理。通过真实项目案例分析,帮助开发者构建类型安全、结构清晰、易维护的前端工程体系,提高团队协作效率与代码质量。

26

2026.03.13

Python异步编程与Asyncio高并发应用实践
Python异步编程与Asyncio高并发应用实践

本专题围绕 Python 异步编程模型展开,深入讲解 Asyncio 框架的核心原理与应用实践。内容包括事件循环机制、协程任务调度、异步 IO 处理以及并发任务管理策略。通过构建高并发网络请求与异步数据处理案例,帮助开发者掌握 Python 在高并发场景中的高效开发方法,并提升系统资源利用率与整体运行性能。

46

2026.03.12

C# ASP.NET Core微服务架构与API网关实践
C# ASP.NET Core微服务架构与API网关实践

本专题围绕 C# 在现代后端架构中的微服务实践展开,系统讲解基于 ASP.NET Core 构建可扩展服务体系的核心方法。内容涵盖服务拆分策略、RESTful API 设计、服务间通信、API 网关统一入口管理以及服务治理机制。通过真实项目案例,帮助开发者掌握构建高可用微服务系统的关键技术,提高系统的可扩展性与维护效率。

178

2026.03.11

Go高并发任务调度与Goroutine池化实践
Go高并发任务调度与Goroutine池化实践

本专题围绕 Go 语言在高并发任务处理场景中的实践展开,系统讲解 Goroutine 调度模型、Channel 通信机制以及并发控制策略。内容包括任务队列设计、Goroutine 池化管理、资源限制控制以及并发任务的性能优化方法。通过实际案例演示,帮助开发者构建稳定高效的 Go 并发任务处理系统,提高系统在高负载环境下的处理能力与稳定性。

51

2026.03.10

Kotlin Android模块化架构与组件化开发实践
Kotlin Android模块化架构与组件化开发实践

本专题围绕 Kotlin 在 Android 应用开发中的架构实践展开,重点讲解模块化设计与组件化开发的实现思路。内容包括项目模块拆分策略、公共组件封装、依赖管理优化、路由通信机制以及大型项目的工程化管理方法。通过真实项目案例分析,帮助开发者构建结构清晰、易扩展且维护成本低的 Android 应用架构体系,提升团队协作效率与项目迭代速度。

92

2026.03.09

JavaScript浏览器渲染机制与前端性能优化实践
JavaScript浏览器渲染机制与前端性能优化实践

本专题围绕 JavaScript 在浏览器中的执行与渲染机制展开,系统讲解 DOM 构建、CSSOM 解析、重排与重绘原理,以及关键渲染路径优化方法。内容涵盖事件循环机制、异步任务调度、资源加载优化、代码拆分与懒加载等性能优化策略。通过真实前端项目案例,帮助开发者理解浏览器底层工作原理,并掌握提升网页加载速度与交互体验的实用技巧。

102

2026.03.06

Rust内存安全机制与所有权模型深度实践
Rust内存安全机制与所有权模型深度实践

本专题围绕 Rust 语言核心特性展开,深入讲解所有权机制、借用规则、生命周期管理以及智能指针等关键概念。通过系统级开发案例,分析内存安全保障原理与零成本抽象优势,并结合并发场景讲解 Send 与 Sync 特性实现机制。帮助开发者真正理解 Rust 的设计哲学,掌握在高性能与安全性并重场景中的工程实践能力。

227

2026.03.05

PHP高性能API设计与Laravel服务架构实践
PHP高性能API设计与Laravel服务架构实践

本专题围绕 PHP 在现代 Web 后端开发中的高性能实践展开,重点讲解基于 Laravel 框架构建可扩展 API 服务的核心方法。内容涵盖路由与中间件机制、服务容器与依赖注入、接口版本管理、缓存策略设计以及队列异步处理方案。同时结合高并发场景,深入分析性能瓶颈定位与优化思路,帮助开发者构建稳定、高效、易维护的 PHP 后端服务体系。

532

2026.03.04

AI安装教程大全
AI安装教程大全

2026最全AI工具安装教程专题:包含各版本AI绘图、AI视频、智能办公软件的本地化部署手册。全篇零基础友好,附带最新模型下载地址、一键安装脚本及常见报错修复方案。每日更新,收藏这一篇就够了,让AI安装不再报错!

171

2026.03.04

热门下载

更多
网站特效
/
网站源码
/
网站素材
/
前端模板

精品课程

更多
相关推荐
/
热门推荐
/
最新课程
PHP基础入门课程
PHP基础入门课程

共33课时 | 2.3万人学习

关于我们 免责申明 举报中心 意见反馈 讲师合作 广告合作 最新更新
php中文网:公益在线php培训,帮助PHP学习者快速成长!
关注服务号 技术交流群
PHP中文网订阅号
每天精选资源文章推送

Copyright 2014-2026 https://www.php.cn/ All Rights Reserved | php.cn | 湘ICP备2023035733号