Predictive Caching in Backend Systems: An AI-driven Alternative to LRU and LFU

This repository is a published snapshot of the research materials for the predictive caching paper. It is intended for reference only.

Important: license and usage

• This repository is provided under a restrictive "All rights reserved" notice. Copying, redistribution, or reuse without explicit permission from the owner is prohibited.
• You may read and reference the code and materials for educational or citation purposes only, but you may not incorporate, re-publish, or distribute the code or paper content without prior written permission from the owner.

Contents (what to expect)

• paper.pdf / paper.md — the manuscript
• simulate_cache.py, run_simulations.py — simulator and experiment harness
• tests/ — unit tests
• submission_bundle.zip — packaged supplementary materials

If you are the owner: run push_to_github.cmd to create the repository on GitHub and push the prepared materials (the script will ask you to set your GitHub username). If you do not have the GitHub CLI installed, the script will print manual commands to run instead.