Simulator 2024 (Andrea Panceri)

Introduction

This simulator has been described and used in the paper "Real-time and Energy-aware Scheduling for Edge-to-Cloud Continuum based on Reinforcement Learning" (#).

You are free to use it and improve it but if do it please cite our work and redistribute the code by using the same licence.

Thanks!

Citations

Panceri Andrea, Proietti Mattia, G., & Beraldi, R. (2024). Real-time and Energy-aware Scheduling for Edge-to-Cloud Continuum based on Reinforcement Learning. 2024

Instructions

The code is written with modularity in mind. The filename convention is the following:

• run_*.py - run the simulations
• node.py - implements a fog/edge node
• log.py - logging utilities
• service_*.py - implements the services used during the simulations
• plot_*.py - plot results