Skip to content

README.md

Latest commit

 

History

History
44 lines (33 loc) · 1.31 KB

README.md

File metadata and controls

44 lines (33 loc) · 1.31 KB

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}
}