This Python script provides a real-time visualization of different scheduling algorithms using the curses library. It's designed to help understand how various scheduling algorithms (Rate Monotonic Scheduling, Deadline Monotonic Scheduling, Earliest Deadline First, and Least Laxity First) operate under different task configurations. This script was developed for the Operating Systems 1 course that I regularly teach at Hof University of Applied Sciences.

• Real-time visualization of scheduling algorithms
• Support for Rate Monotonic Scheduling (RMS)
• Support for Deadline Monotonic Scheduling (DMS)
• Support for Earliest Deadline First (EDF)
• Support for Least Laxity First (LLF)
• Customizable task configurations
• Adjustable runtime and execution sleep time via command-line arguments

• Python 3.x
• A terminal emulator that supports curses (Linux and macOS terminals should work out of the box. Windows users might need to use WSL or Cygwin)

1. Clone the repository or download the source code:

   git clone https://your-repository-url.git
   cd scheduling-algorithms-visualization

2. (Optional) Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Note: This script has no external dependencies apart from standard Python libraries.

To run the script with default settings (25 units of time, 1-second sleep, using RMS algorithm):

./sched-sim.py

To customize the runtime, sleep time, and algorithm:

./sched-sim.py -r 50 -s 0.5 -a edf

Options:

• -r or --runtime: Defines the simulation's duration in time units (default: 25).
• -s or --sleep: Sets the delay between each unit of time to slow down the visualization (default: 1 second).
• -a or --algorithm: Chooses the scheduling algorithm (rms for Rate Monotonic Scheduling, dms for Deadline Monotonic Scheduling, edf for Earliest Deadline First, llf for Least Laxity First).

Contributions are welcome! Please feel free to submit a pull request or open an issue for any bugs, feature requests, or improvements.

MIT License - See the LICENSE file in the repository for more details.