OS-research-lab

Exploring kernel-level operating system design through simulation and machine learning. Focused on schedulers, memory management, and early experiments toward building a custom OS.

This is an ongoing research and learning project, where I explore fundamental OS concepts through simulation, implement new ideas, and eventually work toward building a simple, custom operating system with my own programming language apelang.

Focus Areas

CPU Scheduling

Simulations of traditional and modern CPU scheduling strategies, including:

Round-Robin
CFS (Linux’s Completely Fair Scheduler)
ML-augmented RR (shortest-job prediction and dynamic quantum adjustment)

See: /cpu/

Memory Management

Page replacement experiments using various eviction policies:

Classic LRU, FIFO, Random
Machine learning–enhanced LRU

See: /memory/

Lock

Normal Spinlock vs Predictive spinlock:

Normal Spinlock
“AI” spinlock

See: /locks/

ML in the Kernel

Early-stage research on using lightweight ML models to assist OS behavior:

Predict page reuse
Predict job burst times
Dynamically adjust scheduler behavior

This layer sits between static OS heuristics and adaptive, data-driven decision making.

jordyOS (WIP)

A hobbyist operating system built from scratch on macOS, featuring:

A custom bootloader
A simple VGA text interface
A built-in calculator shell
apelang support (WIP)

See: /jordyOS/

Why This Exists

Most OS behavior lives deep in the kernel — but textbooks often leave no room to experiment.
This repo is my hands-on lab for:

Simulating and testing OS concepts before writing bare-metal C/ASM
Exploring the boundary between traditional kernel logic and machine learning
Gradually building toward a minimal, bootable operating system

Directory Structure

```bash cpu/ # Scheduling simulations and ML-enhanced RR memory/ # Page replacement experiments (LRU, ML, etc.) locks/ # Lock experiements (Spinlock and predictive spinlock) jordyOS/ # Bootable toy operating system with calculator shell