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Container Orchestration in Edge Computing with Fluctuating Green Energy: A Multi-Armed Bandit Approach

Fulltext:


Authors:

Václav Struhár, Alessandro Papadopoulos, Inmaculada Ayala, Mercedes Amor , Lidia Fuentes

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

17th International Conference on Ubiquitous Computing and Ambient Intelligence

Abstract

Sustainable edge computing demands intelligent scheduling of containerized workloads to exploit intermittently available renewable energy at geographically distributed sites. This work introduces a Contextual Multi-Armed Bandit (CMAB) framework for green-aware container orchestration, leveraging real-time context, such as energy availability, and resource utilization, via linear CMAB algorithms. A Python-based simulator models realistic solar and wind dynamics across regions. Com- pared to optimal, random, and naïve baselines, our CMAB scheduler im- proves green-energy utilization by up to 30% and cuts brown-energy use by 20%, while maintaining application performance guarantees. These findings underscore the potential of learning-based methods for advancing energy-efficient and sustainable edge infrastructures.

Bibtex

@inproceedings{Struhar7310,
author = {V{\'a}clav Struh{\'a}r and Alessandro Papadopoulos and Inmaculada Ayala and Mercedes Amor and Lidia Fuentes},
title = {Container Orchestration in Edge Computing with Fluctuating Green Energy: A Multi-Armed Bandit Approach},
month = {November},
year = {2025},
booktitle = {17th International Conference on Ubiquitous Computing and Ambient Intelligence},
url = {http://www.es.mdu.se/publications/7310-}
}