Signup/Sign In

Shortest Remaining Time First Scheduling Algorithm

The Preemptive version of Shortest Job First(SJF) scheduling is known as Shortest Remaining Time First (SRTF). With the help of the SRTF algorithm, the process having the smallest amount of time remaining until completion is selected first to execute.

So basically in SRTF, the processes are scheduled according to the shortest remaining time.

However, the SRTF algorithm involves more overheads than the Shortest job first (SJF)scheduling, because in SRTF OS is required frequently in order to monitor the CPU time of the jobs in the READY queue and to perform context switching.

In the SRTF scheduling algorithm, the execution of any process can be stopped after a certain amount of time. On arrival of every process, the short-term scheduler schedules those processes from the list of available processes & running processes that have the least remaining burst time.

After all the processes are available in the ready queue, then, No preemption will be done and then the algorithm will work the same as SJF scheduling. In the Process Control Block, the context of the process is saved, when the process is removed from the execution and when the next process is scheduled. The PCB is accessed on the next execution of this process.

Advantages of SRTF

The main advantage of the SRTF algorithm is that it makes the processing of the jobs faster than the SJF algorithm, mentioned it’s overhead charges are not counted.

Disadvantages of SRTF

In SRTF, the context switching is done a lot more times than in SJN due to more consumption of the CPU's valuable time for processing. The consumed time of CPU then adds up to its processing time and which then diminishes the advantage of fast processing of this algorithm.

Example

chart

Explanation

  • At the 0th unit of the CPU, there is only one process that is P1, so P1 gets executed for the 1 time unit.

  • At the 1st unit of the CPU, Process P2 arrives. Now, the P1 needs 6 more units more to be executed, and the P2 needs only 3 units. So, P2 is executed first by preempting P1.

  • At the 3rd unit of time, the process P3 arrives, and the burst time of P3 is 4 units which is more than the completion time of P2 that is 1 unit, so P2 continues its execution.

  • Now after the completion of P2, the burst time of P3 is 4 units that means it needs only 4 units for completion while P1 needs 6 units for completion.

  • So, this algorithm picks P3 above P1 due to the reason that the completion time of P3 is less than that of P1

  • P3 gets completed at time unit 8, there are no new processes arrived.

  • So again, P1 is sent for execution, and it gets completed at the 14th unit.

As Arrival Time and Burst time for three processes P1, P2, P3 are given in the above diagram. Let us calculate Turn around time, completion time, and waiting time.

Process

Arrival Time

Burst Time

Completion time

Turn around Time

Turn Around Time = Completion Time – Arrival Time

Waiting Time

Waiting Time = Turn Around Time – Burst Time

P1

0

7

14

14-0=14

14-7=7

P2

1

3

4

4-1=3

3-3=0

P3

3

4

8

8-3=5

5-4=1

Average waiting time is calculated by adding the waiting time of all processes and then dividing them by no. of processes.

average waiting time = waiting for time of all processes/ no.of processes

average waiting time=7+0+1=8/3 = 2.66ms

Implementation

Given below is the C++ Implementation of Shortest Remaining Time First scheduling :

#include <iostream>
#include <algorithm> 
#include <iomanip>
#include <string.h> 
using namespace std;
struct process {
    int pid;
    int arrival_time;
    int burst_time;
    int start_time;
    int completion_time;
    int turnaround_time;
    int waiting_time;
    int response_time;
};
int main() {

    int x;
    struct process p[100];
    float avg_turnaround_time;
    float avg_waiting_time;
    float avg_response_time;
    float cpu_utilization;
    int total_turnaround_time = 0;
    int total_waiting_time = 0;
    int total_response_time = 0;
    int total_idle_time = 0;
    float throughput;
    int burst_remaining[100];
    int is_completed[100];
    memset(is_completed,0,sizeof(is_completed));

    cout << setprecision(2) << fixed;

    cout<<"Enter the number of processes: ";
    cin>>x;

    for(int i = 0; i < x; i++) {
        cout<<"Enter arrival time ofthe process "<<i+1<<": ";
        cin>>p[i].arrival_time;
        cout<<"Enter burst time of the process "<<i+1<<": ";
        cin>>p[i].burst_time;
        p[i].pid = i+1;
        burst_remaining[i] = p[i].burst_time;
        cout<<endl;
    }

    int current_time = 0;
    int completed = 0;
    int prev = 0;

    while(completed != x) {
        int idx = -1;
        int mn = 10000000;
        for(int i = 0; i < x; i++) {
            if(p[i].arrival_time <= current_time && is_completed[i] == 0) {
                if(burst_remaining[i] < mn) {
                    mn = burst_remaining[i];
                    idx = i;
                }
                if(burst_remaining[i] == mn) {
                    if(p[i].arrival_time < p[idx].arrival_time) {
                        mn = burst_remaining[i];
                        idx = i;
                    }
                }
            }
        }

        if(idx != -1) {
            if(burst_remaining[idx] == p[idx].burst_time) {
                p[idx].start_time = current_time;
                total_idle_time += p[idx].start_time - prev;
            }
            burst_remaining[idx] -= 1;
            current_time++;
            prev = current_time;
            
            if(burst_remaining[idx] == 0) {
                p[idx].completion_time = current_time;
                p[idx].turnaround_time = p[idx].completion_time - p[idx].arrival_time;
                p[idx].waiting_time = p[idx].turnaround_time - p[idx].burst_time;
                p[idx].response_time = p[idx].start_time - p[idx].arrival_time;

                total_turnaround_time += p[idx].turnaround_time;
                total_waiting_time += p[idx].waiting_time;
                total_response_time += p[idx].response_time;

                is_completed[idx] = 1;
                completed++;
            }
        }
        else {
             current_time++;
        }  
    }

    int min_arrival_time = 10000000;
    int max_completion_time = -1;
    for(int i = 0; i < x; i++) {
        min_arrival_time = min(min_arrival_time,p[i].arrival_time);
        max_completion_time = max(max_completion_time,p[i].completion_time);
    }

    avg_turnaround_time = (float) total_turnaround_time / x;
    avg_waiting_time = (float) total_waiting_time / x;
    avg_response_time = (float) total_response_time / x;
    cpu_utilization = ((max_completion_time - total_idle_time) / (float) max_completion_time )*100;
    throughput = float(x) / (max_completion_time - min_arrival_time);

    cout<<endl<<endl;

    cout<<"Process\t"<<"Arrival Time\t"<<"Burst Time\t"<<"ST\t"<<"CT\t"<<"TAT\t"<<"WT\t"<<"RT\t"<<"\n"<<endl;

    for(int i = 0; i < x; i++) {
        cout<<p[i].pid<<"\t"<<p[i].arrival_time<<"\t"<<p[i].burst_time<<"\t"<<p[i].start_time<<"\t"<<p[i].completion_time<<"\t"<<p[i].turnaround_time<<"\t"<<p[i].waiting_time<<"\t"<<p[i].response_time<<"\t"<<"\n"<<endl;
    }
    cout<<"Average Turnaround Time = "<<avg_turnaround_time<<endl;
    cout<<"Average Waiting Time = "<<avg_waiting_time<<endl;
    cout<<"Average Response Time = "<<avg_response_time<<endl;
    cout<<"CPU Utilization = "<<cpu_utilization<<"%"<<endl;
    cout<<"Throughput = "<<throughput<<" process/unit time"<<endl;


}

Output

The output of the above code is as follows;

chart



About the author:
Aspiring Software developer working as a content writer. I like computer related subjects like Computer Networks, Operating system, CAO, Database, and I am also learning Python.