Skip to content

[FGCS] Code and data for the paper "Adaptive green cloud applications: Balancing emissions, revenue, and user experience through approximate computing"

Notifications You must be signed in to change notification settings

POLIMIGreenISE/carbonbudget

Repository files navigation

Adaptive Green Cloud Applications

Code and data for the paper:

Setup

Requires Gurobi Optimizer (here you can get an academic license).

python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate pip install -r requirements.txt grbgetkey <your-license-key>

Run and Analyze Experiments

# Run experiments python run_experiments.py python run_pareto_experiments.py # Generate plots (saved to plots/) python create_boxplot.py python create_pareto_plots.py

Bibtex

If you use this code for your research, please cite:

@article{vitali2026adaptive, author = {Monica Vitali and Philipp Wiesner and Kevin Kreutz and Roberto Gandola}, title = {Adaptive green cloud applications: Balancing emissions, revenue, and user experience through approximate computing}, journal = {Future Generation Computer Systems}, volume = {176}, pages = {108143}, year = {2026}, doi = {https://doi.org/10.1016/j.future.2025.108143} }

About

[FGCS] Code and data for the paper "Adaptive green cloud applications: Balancing emissions, revenue, and user experience through approximate computing"

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  

Languages