Deployment of Containerized Simulations in an API-Driven Distributed Infrastructure
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866913890203336704 |
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| author | Kraus, Tim Sauer, Axel Feldner, Ingo |
| author_facet | Kraus, Tim Sauer, Axel Feldner, Ingo |
| contents | The increasingly dynamic market for embedded systems makes virtual prototypes an indispensable tool for hardware/software codesign. The broad acceptance of the methodology has led to a diverse range of solutions: from open-source, pure console-based simulators to highly capable commercial simulation tools. In this work we present SUNRISE, an infrastructure to provide users a unified approach to utilizing virtual prototyping solutions, facilitate access to various simulation technologies and boost cooperation by leveraging decentralized compute resources for deployment of simulation workloads and definition of open APIs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_10642 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Deployment of Containerized Simulations in an API-Driven Distributed Infrastructure Kraus, Tim Sauer, Axel Feldner, Ingo Distributed, Parallel, and Cluster Computing Systems and Control The increasingly dynamic market for embedded systems makes virtual prototypes an indispensable tool for hardware/software codesign. The broad acceptance of the methodology has led to a diverse range of solutions: from open-source, pure console-based simulators to highly capable commercial simulation tools. In this work we present SUNRISE, an infrastructure to provide users a unified approach to utilizing virtual prototyping solutions, facilitate access to various simulation technologies and boost cooperation by leveraging decentralized compute resources for deployment of simulation workloads and definition of open APIs. |
| title | Deployment of Containerized Simulations in an API-Driven Distributed Infrastructure |
| topic | Distributed, Parallel, and Cluster Computing Systems and Control |
| url | https://arxiv.org/abs/2506.10642 |