FCFS vs SJF vs Round Robin: Key Differences and When to Use Each
FCFS schedules processes in the order they arrive, SJF picks the shortest job next, and Round Robin cycles through processes giving each a fixed time slice. FCFS is simple but can cause long waits, SJF minimizes average wait time but needs job length knowledge, and Round Robin ensures fairness with time-sharing.Quick Comparison
Here is a quick table comparing FCFS, SJF, and Round Robin scheduling algorithms based on key factors.
| Factor | FCFS | SJF | Round Robin |
|---|---|---|---|
| Scheduling Order | First come, first served | Shortest job first | Fixed time slices in rotation |
| Preemptive | No | Can be preemptive or non-preemptive | Yes |
| Average Waiting Time | Can be high | Usually lowest | Moderate |
| Fairness | Low (long jobs delay others) | Can starve long jobs | High (time sharing) |
| Complexity | Simple | Needs job length info | Moderate |
| Use Case | Batch systems | When job lengths known | Time-sharing systems |
Key Differences
FCFS (First-Come, First-Served) runs processes in the exact order they arrive without interruption. It is easy to implement but can cause long waiting times if a long process arrives first, leading to the "convoy effect".
SJF (Shortest Job First) selects the process with the smallest execution time next. This reduces average waiting time but requires knowing or estimating job lengths beforehand. It can be preemptive (Shortest Remaining Time First) or non-preemptive. However, it risks starving longer jobs if short jobs keep arriving.
Round Robin assigns each process a fixed time slice (quantum) and cycles through them repeatedly. This ensures all processes get CPU time fairly and is ideal for time-sharing systems. It is preemptive and balances responsiveness and throughput but may increase context switching overhead.
Code Comparison
Below is a simple Python example demonstrating FCFS scheduling for processes with arrival and burst times.
def fcfs_scheduling(processes): start_time = 0 waiting_times = [] for pid, arrival, burst in processes: if start_time < arrival: start_time = arrival waiting = start_time - arrival waiting_times.append((pid, waiting)) start_time += burst return waiting_times processes = [(1, 0, 5), (2, 1, 3), (3, 2, 8), (4, 3, 6)] waiting = fcfs_scheduling(processes) for pid, wait in waiting: print(f"Process {pid} waiting time: {wait}")
Round Robin Equivalent
This Python code shows a simple Round Robin scheduler using a fixed time quantum.
from collections import deque def round_robin(processes, quantum): queue = deque(processes) time = 0 waiting_times = {pid: 0 for pid, _, _ in processes} remaining = {pid: burst for pid, _, burst in processes} last_time = {pid: 0 for pid, _, _ in processes} while queue: pid, arrival, burst = queue.popleft() if time < arrival: time = arrival exec_time = min(quantum, remaining[pid]) waiting_times[pid] += time - last_time[pid] time += exec_time remaining[pid] -= exec_time last_time[pid] = time if remaining[pid] > 0: queue.append((pid, arrival, burst)) return waiting_times processes = [(1, 0, 5), (2, 1, 3), (3, 2, 8), (4, 3, 6)] waiting = round_robin(processes, quantum=2) for pid in sorted(waiting): print(f"Process {pid} waiting time: {waiting[pid]}")
When to Use Which
Choose FCFS when simplicity is key and process arrival order is fair, such as in batch processing without strict timing needs.
Choose SJF when you can estimate job lengths accurately and want to minimize average waiting time, but be cautious of starving longer tasks.
Choose Round Robin for interactive or time-sharing systems where fairness and responsiveness matter, balancing CPU time among all processes with fixed time slices.