A Generative AI Assistant to Accelerate Cloud Migration
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909069420265472 |
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| author | Vaidya, Amal Vankayalapati, Mohan Krishna Chan, Jacky Ibraimoski, Senad Moran, Sean |
| author_facet | Vaidya, Amal Vankayalapati, Mohan Krishna Chan, Jacky Ibraimoski, Senad Moran, Sean |
| contents | We present a tool that leverages generative AI to accelerate the migration of on-premises applications to the cloud. The Cloud Migration LLM accepts input from the user specifying the parameters of their migration, and outputs a migration strategy with an architecture diagram. A user study suggests that the migration LLM can assist inexperienced users in finding the right cloud migration profile, while avoiding complexities of a manual approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01753 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Generative AI Assistant to Accelerate Cloud Migration Vaidya, Amal Vankayalapati, Mohan Krishna Chan, Jacky Ibraimoski, Senad Moran, Sean Artificial Intelligence We present a tool that leverages generative AI to accelerate the migration of on-premises applications to the cloud. The Cloud Migration LLM accepts input from the user specifying the parameters of their migration, and outputs a migration strategy with an architecture diagram. A user study suggests that the migration LLM can assist inexperienced users in finding the right cloud migration profile, while avoiding complexities of a manual approach. |
| title | A Generative AI Assistant to Accelerate Cloud Migration |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2401.01753 |