Throughput
How many processes complete per unit of time. Higher throughput indicates better overall CPU productivity.
Operating Systems Project
CPU Scheduling Studio Pro
Demonstrate core scheduling concepts with an interactive simulator, live Gantt chart, and algorithm-by-algorithm performance analysis.
Interactive Algorithms
Live Playback
Presentation Ready
Simulator Controls
Configure strategy and execution cost, then run.
Processes
Use arrival, burst, and priority values to compare algorithm behavior.
| PID | Arrival Time | Burst Time | Priority | Color | Action |
|---|
Gantt Chart
Not simulatedTimeline shows CPU allocation order, idle time, and context switch overhead.
Run a simulation to visualize the timeline.
Time: 0
CPU: Idle
Ready: -
Performance Metrics
Track efficiency and fairness across each run.
| PID | Completion | Turnaround | Waiting | Response |
|---|
Step-by-Step Calculations
See how every final metric is computed from each clock tick.
| t | CPU Event | Ready Queue | Waiting Update | Remaining Burst |
|---|
Core Concepts Explained
Turnaround Time
Total time from arrival to completion. This is key for measuring end-to-end process experience.
Waiting Time
Time spent in the ready queue before execution. Lower waiting usually means more fair scheduling behavior.
Response Time
Delay between process arrival and first CPU allocation. Critical for interactive and time-sensitive tasks.
Preemptive vs Non-Preemptive
Preemptive algorithms can interrupt running processes; non-preemptive ones run a selected process until completion.
Context Switching
Switching between processes has overhead. Use the context switch cost control to demonstrate this tradeoff.