Introduction
Build an interactive CPU scheduling simulator with Gantt charts, FCFS, SJF, RR, Priority, and MLFQ algorithms. This comprehensive guide covers everything from design through implementation, testing, and deployment.
Build an interactive CPU scheduling simulator with Gantt charts, FCFS, SJF, RR, Priority, and MLFQ algorithms.
Build an interactive CPU scheduling simulator with Gantt charts, FCFS, SJF, RR, Priority, and MLFQ algorithms. This comprehensive guide covers everything from design through implementation, testing, and deployment.
FCFS (First Come First Served): sort by arrival time, execute in order, no preemption. Simple but suffers convoy effect (short processes wait for long process ahead). SJF (Shortest Job First): non-preemptive — select shortest burst process from arrived queue. Preemptive SJF (SRTF — Shortest Remaining Time First): on each arrival and CPU cycle, switch to process with smallest remaining burst time. SJF minimizes average waiting time but requires knowledge of burst time (impractical in real OS — estimated using exponential averaging of past bursts).
10 components required for this project.
| # | Component | Purpose | Qty |
|---|---|---|---|
| 1 | Python 3.10+ | Simulation engine | x1 |
| 2 | React + TypeScript | Interactive web-based UI | x1 |
| 3 | Recharts | Gantt chart visualization | x1 |
| 4 | FastAPI | Scheduling computation backend | x1 |
| 5 | pytest | Algorithm correctness testing | x1 |
| 6 | Pandas | Result analysis | x1 |
| 7 | Matplotlib (alternative) | Gantt chart generation | x1 |
| 8 | SQLite | Simulation history storage | x1 |
| 9 | Docker | Containerized deployment | x1 |
| 10 | Jupyter Notebook | Algorithm exploration and visualization | x1 |
Follow these 3 steps carefully.
FCFS (First Come First Served): sort by arrival time, execute in order, no preemption. Simple but suffers convoy effect (short processes wait for long process ahead). SJF (Shortest Job First): non-preemptive — select shortest burst process from arrived queue. Preemptive SJF (SRTF — Shortest Remaining Time First): on each arrival and CPU cycle, switch to process with smallest remaining burst time. SJF minimizes average waiting time but requires knowledge of burst time (impractical in real OS — estimated using exponential averaging of past bursts).
Round Robin: maintain circular queue, give each process a time quantum (Q). After Q ms, preempt and add to end of queue. Configure Q: too small → excessive context switching overhead, too large → degrades to FCFS. Priority: select process with highest priority from ready queue. Preemptive variant: if higher-priority process arrives, preempt current. Problem: starvation (low-priority processes never execute). Solution: aging — periodically increase priority of waiting processes.
MLFQ (used in macOS, Unix) has multiple queues with different priorities and quantum sizes. Queue 1 (highest priority): quantum=8ms. Queue 2: quantum=16ms. Queue 3 (lowest, FCFS): no preemption. Rules: new processes enter queue 1. If process uses full quantum, demote to lower queue (CPU-bound detected). If process blocks for I/O before quantum expires, stay in same queue (I/O-bound processes kept high priority). Boost: periodically move all processes to queue 1 to prevent starvation.
Core code for scheduler.py:
Test CPU Scheduling Algorithm Simulator by verifying each subsystem individually before full integration.
Verify power voltages, check ground connections, use serial monitor for debug.
An interactive simulator will be available here — simulate circuits and run code in-browser without hardware.