Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912240303603712 |
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| author | Astudillo, Natasha Koch, Fernando |
| author_facet | Astudillo, Natasha Koch, Fernando |
| contents | The increasing demand for energy-efficient solutions in large-scale infrastructure, particularly data centers, requires advanced control strategies to optimize environmental management systems. We propose a multi-agent architecture for distributed control of air-cooled chiller systems in data centers. Our vision employs autonomous agents to monitor and regulate local operational parameters and optimize system-wide efficiency. We demonstrate how this approach improves the responsiveness, operational robustness, and energy efficiency of the system, contributing to the broader goal of sustainable infrastructure management. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_15663 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities Astudillo, Natasha Koch, Fernando Multiagent Systems Artificial Intelligence The increasing demand for energy-efficient solutions in large-scale infrastructure, particularly data centers, requires advanced control strategies to optimize environmental management systems. We propose a multi-agent architecture for distributed control of air-cooled chiller systems in data centers. Our vision employs autonomous agents to monitor and regulate local operational parameters and optimize system-wide efficiency. We demonstrate how this approach improves the responsiveness, operational robustness, and energy efficiency of the system, contributing to the broader goal of sustainable infrastructure management. |
| title | Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities |
| topic | Multiagent Systems Artificial Intelligence |
| url | https://arxiv.org/abs/2502.15663 |