A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915318301982720 |
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| author | Panteleaki, Aikaterini Maria Paramanayakam, Varatheepan Pentsos, Vasileios Karatzas, Andreas Tragoudas, Spyros Anagnostopoulos, Iraklis |
| author_facet | Panteleaki, Aikaterini Maria Paramanayakam, Varatheepan Pentsos, Vasileios Karatzas, Andreas Tragoudas, Spyros Anagnostopoulos, Iraklis |
| contents | The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic methodology for designing and managing sustainable Edge Data Centers (EDCs), based on three design principles that challenge the state-of-the-art optimization paradigms. Our approach employs vertical integration across the architecture, system, and runtime layers, balances operational and embodied carbon emissions while considering EDC performance as a co-optimization objective, rather than a constraint. At the architecture level, we propose carbon-aware and approximate accelerator designs to reduce embodied carbon. At the system level, we enhance resource utilization and adapt to real-time carbon intensity variations to minimize operational emissions. Finally, at the runtime level, we develop dynamic scheduling frameworks that adjust execution, based on energy constraints and carbon intensity. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2506_01712 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers Panteleaki, Aikaterini Maria Paramanayakam, Varatheepan Pentsos, Vasileios Karatzas, Andreas Tragoudas, Spyros Anagnostopoulos, Iraklis Systems and Control The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic methodology for designing and managing sustainable Edge Data Centers (EDCs), based on three design principles that challenge the state-of-the-art optimization paradigms. Our approach employs vertical integration across the architecture, system, and runtime layers, balances operational and embodied carbon emissions while considering EDC performance as a co-optimization objective, rather than a constraint. At the architecture level, we propose carbon-aware and approximate accelerator designs to reduce embodied carbon. At the system level, we enhance resource utilization and adapt to real-time carbon intensity variations to minimize operational emissions. Finally, at the runtime level, we develop dynamic scheduling frameworks that adjust execution, based on energy constraints and carbon intensity. |
| title | A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2506.01712 |