A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909789656711168 |
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| author | Dobashi, Masaru Toshimitsu, Kohei Seike, Hirotsugu Kanno, Miki Horie, Genki Koshizuka, Noboru |
| author_facet | Dobashi, Masaru Toshimitsu, Kohei Seike, Hirotsugu Kanno, Miki Horie, Genki Koshizuka, Noboru |
| contents | This paper proposes "Data Space High-Level Architecture Model" (DS-HLAM) for expressing diverse data collaboration platforms across regional implementations. The framework introduces mathematically rigorous definitions with success conditions formalized through finite state automata theory, enabling interoperability while preserving digital sovereignty requirements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_12210 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts Dobashi, Masaru Toshimitsu, Kohei Seike, Hirotsugu Kanno, Miki Horie, Genki Koshizuka, Noboru Distributed, Parallel, and Cluster Computing This paper proposes "Data Space High-Level Architecture Model" (DS-HLAM) for expressing diverse data collaboration platforms across regional implementations. The framework introduces mathematically rigorous definitions with success conditions formalized through finite state automata theory, enabling interoperability while preserving digital sovereignty requirements. |
| title | A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2509.12210 |