Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912484519051264 |
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| author | Attenni, Giulio Bartolini, Novella |
| author_facet | Attenni, Giulio Bartolini, Novella |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11563 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers Attenni, Giulio Bartolini, Novella Distributed, Parallel, and Cluster Computing 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. |
| title | Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2507.11563 |