Smart AI-Enabled Orchestration for Resource Optimization in the Cloud Environment

Rajashekhar Reddy Kethireddy

Abstract: This study explores the integration of AIdriven techniques into cloud orchestration, emphasizing the transformative impact on resource optimization, automation, and scalability. The paper presents realworld case studies across industries, highlighting the benefits and challenges of AI in cloud environments, such as data privacy and computational power requirements. By leveraging machine learning models for workload distribution and dynamic scaling, organizations can achieve significant efficiency and cost-effectiveness. The findings underline AIs crucial role in driving innovation and enabling responsive, secure cloud management in the digital age.

Keywords: AIdriven orchestration, cloud resource optimization, cloud computing, machine learning, cloud management

How to Cite?: Rajashekhar Reddy Kethireddy, "Smart AI-Enabled Orchestration for Resource Optimization in the Cloud Environment", Volume 13 Issue 1, January 2024, International Journal of Science and Research (IJSR), Pages: 1822-1829, https://www.ijsr.net/getabstract.php?paperid=SR24115214559, DOI: https://dx.doi.org/10.21275/SR24115214559