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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2502.11857 |
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| _version_ | 1866915155323912192 |
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| author | Grossman, Robert L. |
| author_facet | Grossman, Robert L. |
| contents | A data commons brings together (or co-locates) data with cloud computing infrastructure and commonly used software services, tools and applications for managing, analyzing and sharing data to create an interoperable resource for a research community. We introduce an architectural design principle for data commons called the narrow middle architecture that is broadly based upon the end-to-end argument in systems design. We also discuss important core services for data commons and the role of standards. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_11857 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Proposed End-To-End Principle for Data Commons Grossman, Robert L. Distributed, Parallel, and Cluster Computing A data commons brings together (or co-locates) data with cloud computing infrastructure and commonly used software services, tools and applications for managing, analyzing and sharing data to create an interoperable resource for a research community. We introduce an architectural design principle for data commons called the narrow middle architecture that is broadly based upon the end-to-end argument in systems design. We also discuss important core services for data commons and the role of standards. |
| title | A Proposed End-To-End Principle for Data Commons |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2502.11857 |