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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.20442 |
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| _version_ | 1866913918835752960 |
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| author | Shi, Tianyao Kumar, Ritbik Hua, Inez Ding, Yi |
| author_facet | Shi, Tianyao Kumar, Ritbik Hua, Inez Ding, Yi |
| contents | Biodiversity loss is a critical planetary boundary, yet its connection to computing remains largely unexamined. Prior sustainability efforts in computing have focused on carbon and water, overlooking biodiversity due to the lack of appropriate metrics and modeling frameworks. This paper presents the first end-to-end analysis of biodiversity impact from computing systems. We introduce two new metrics--Embodied Biodiversity Index (EBI) and Operational Biodiversity Index (OBI)--to quantify biodiversity impact across the lifecycle, and present FABRIC, a modeling framework that links computing workloads to biodiversity impacts. Our evaluation highlights the need to consider biodiversity alongside carbon and water in sustainable computing design and optimization. The code is available at https://github.com/TianyaoShi/FABRIC. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20442 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | When Servers Meet Species: A Fab-to-Grave Lens on Computing's Biodiversity Impact Shi, Tianyao Kumar, Ritbik Hua, Inez Ding, Yi Computers and Society Hardware Architecture Distributed, Parallel, and Cluster Computing Biodiversity loss is a critical planetary boundary, yet its connection to computing remains largely unexamined. Prior sustainability efforts in computing have focused on carbon and water, overlooking biodiversity due to the lack of appropriate metrics and modeling frameworks. This paper presents the first end-to-end analysis of biodiversity impact from computing systems. We introduce two new metrics--Embodied Biodiversity Index (EBI) and Operational Biodiversity Index (OBI)--to quantify biodiversity impact across the lifecycle, and present FABRIC, a modeling framework that links computing workloads to biodiversity impacts. Our evaluation highlights the need to consider biodiversity alongside carbon and water in sustainable computing design and optimization. The code is available at https://github.com/TianyaoShi/FABRIC. |
| title | When Servers Meet Species: A Fab-to-Grave Lens on Computing's Biodiversity Impact |
| topic | Computers and Society Hardware Architecture Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2506.20442 |