romoreira/sfi2-energy-sustainability

SFI2 Project experiments

SFI2: Energy Sustainability using AI algorithms.

Developed by Rodrigo M.

Project Details:

This project contains software artifacts related to the construction of an energy sustainability-oriented smart network slicing layer. Using artificial intelligence, it is possible to choose a good target domain to deploy the network slice in order to minimize energy consumption.

SFI2 Project experiments

This repository contains the code artifacts and dataset to simulate eletricity consumption in Target Domains managed by SFI2 Reference Architecture. To reproduce this snipet it is mandatory to install some requirements as described in file requirements.txt

1. Run the launch.sh file available in this repository
2. ./lauch.sh

Note inside launch.sh has the call of client python scripts, and some parameters is provided.

Financial Support 💰

• FAPESP

How to cite this work? 📰

@ARTICLE{Moreira2023,
  author={Martins, Joberto S. B. and Carvalho, Tereza C. and Moreira, Rodrigo and Both, Cristiano Bonato and Donatti, Adnei and Corrêa, João H. and Suruagy, José A. and Corrêa, Sand L. and Abelem, Antonio J. G. and Ribeiro, Moisés R. N. and Nogueira, José-marcos S. and Magalhães, Luiz C. S. and Wickboldt, Juliano and Ferreto, Tiago C. and Mello, Ricardo and Pasquini, Rafael and Schwarz, Marcos and Sampaio, Leobino N. and Macedo, Daniel F. and De Rezende, José F. and Cardoso, Kleber V. and De Oliveira Silva, Flávio},
  journal={IEEE Access}, 
  title={Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration}, 
  year={2023},
  volume={11},
  number={},
  pages={69144-69163},
  doi={10.1109/ACCESS.2023.3292788}}