AI-Powered VM Selection: Amplifying Cloud Performance with Dragonfly Algorithm

Author:

Rashmi Sindhu,Siwach Vikas,Sehrawat Harkesh,Brar Gurbinder Singh,Singla Jimmy,Jhanjhi N.Z.ORCID,Masud Mehedi,Shorfuzzaman Mohammad

Publisher

Elsevier BV

Reference44 articles.

1. Dynamic resource allocation in cloud computing: analysis and taxonomies;Belgacem;Computing,2022

2. Multiple virtual machines resource scheduling for cloud computing;Zhang;Applied Mathematics \& Information Sciences,2013

3. Gartner, “Gartner Forecasts Worldwide Public Cloud End-User Spending,” Information Technology. Accessed: June. 26, 2024. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2024-05-20-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-surpass-675-billion-in-2024.

4. Artificial Intelligence Empowering the Digital World;Dhanda;Futuristic Trends in Artificial Intelligence,2024

5. S. Talwani and J. Singla, “Enhanced Bee Colony Approach for reducing the energy consumption during VM migration in cloud computing environment,” in IOP Conference Series: Materials Science and Engineering, IOP Publishing, 2021. doi: 10.1088/1757-899X/1022/1/012069.

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