Efficient Multi-Model Management

This repository contains the code to our EDBT '23 short paper.

M³lib - Multi Model Management Library

• The code is an extended version of the MMlib (Model Management library)
  • MMlib paper
  • MMlib repo

Installation

Option 1: Docker

• Requirements: Docker installed
• Build Library
  • clone this repo
  • run the script generate-archives-docker.sh
    • it runs a docker container and builds the mmlib in it
    • the created dist directory is copied back to repository root
    • it contains the .whl file that can be used to install the library with pip (see below)
• Install
  • to install mmlib run: pip install <PATH>/dist/mmlib-0.0.1-py3-none-any.whl

Option 2: Local Build

• Requirements: Python 3.8 and Python venv
• Build Library
  • run the script generate-archives.sh
    • it creates a virtual environment, activates it, and installs all requirements
    • afterward it builds the library, and a dist directory containing the .whl file is created
• Install
  • to install mmlib run: pip install <PATH>/dist/mmlib-0.0.1-py3-none-any.whl

Cite Our Work

If you use our code or insights from the paper, please cite us.

@inproceedings{strassenburg_2023_m3lib,
  author    = {Nils Strassenburg and Dominic Kupfer and Julia Kowal and Tilmann Rabl},
  title     = {Efficient Multi-Model Management},
  booktitle = {Proceedings 26th International Conference on Extending Database Technology (EDBT 2023) Ioannina, Greece, March 28 - March 31},
  pages     = {457–-463},
  publisher = {OpenProceedings.org},
  year      = {2023},
  doi       = {10.48786/edbt.2023.37}
}