Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers

TL;DR

This paper introduces a theoretical framework for environmentally-conscious job deployment in cloud data centers, aiming to reduce ecological footprints through sustainability-aware optimization and reporting.

Contribution

It formalizes an optimization model that balances multiple environmental factors for cloud job placement considering sustainability metrics.

Findings

Simulation shows potential environmental benefits over baseline strategies.

Defines comprehensive environmental impact profiles for data centers.

Analyzes sustainability reports to inform deployment decisions.

Abstract

This paper presents a theoretical discussion for environmentally-conscious job deployment and migration in cloud environments, aiming to minimize the environmental impact of resource provisioning while incorporating sustainability requirements. As the demand for sustainable cloud services grows, it is crucial for cloud customers to select data center operators based on sustainability metrics and to accurately report the ecological footprint of their services. To this end, we analyze sustainability reports and define comprehensive environmental impact profiles for data centers, incorporating key sustainability indicators. We formalize the problem as an optimization model, balancing multiple environmental factors while respecting user preferences. A simulative case study demonstrates the {potential} of our approach compared to baseline strategies that optimize for single sustainability factors.