📄 Abstract
Different algorithms, such as Ant colony optimization (ACO), Dynamic voltage frequency scaling (DVFS), artificial neural networks (ANN), and FinOps, are examined to promote energy efficiency, cut CO₂ exhaust, and utilize resources. Finally, the survey disseminates pros, cons, and future research considerations on further implementing sustainable cloud computing models that promote environmental stewardship and economic growth.
🏷️ Keywords
📚 How to Cite:
T.Amalraj Victorie, M.Vasuki, M.Dhivyadharshini , SUSTAINABLE CLOUD COMPUTING , Volume 10 , Issue 10, october 2025, EPRA International Journal of Research & Development (IJRD) ,