Summary of A Generative Ai Assistant to Accelerate Cloud Migration, by Amal Vaidya et al.
A Generative AI Assistant to Accelerate Cloud Migration
by Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Sean Moran
First submitted to arxiv on: 3 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Cloud Migration LLM utilizes generative AI to streamline the process of transferring on-premises applications to the cloud. This tool accepts user inputs defining the migration parameters and generates a customized strategy, accompanied by an architecture diagram. The study demonstrates that inexperienced users can effectively leverage this tool to identify suitable cloud migration profiles, thereby mitigating the complexity associated with manual approaches. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The Cloud Migration LLM is a helpful tool that uses artificial intelligence to make it easier for people to move their applications from being run on their own computers or servers (on-premises) to the cloud. The tool asks users for some information about what they want to do, and then gives them a step-by-step plan to follow, along with a picture of how everything should be connected. This makes it simpler and less confusing for people who are not experts in this area. |
