Leveraging AI for Cost Efficiency and Optimized Cloud Resource Management

Abstract

In the era of cloud computing, businesses are increasingly reliant on cloud services for scalability, flexibility, and cost-effectiveness. However, with the growing complexity of cloud environments and the dynamic nature of workloads, efficiently managing resources while optimizing costs remains a significant challenge. In response, this paper explores the integration of Artificial Intelligence (AI) techniques into cloud resource management to enhance efficiency and cost-effectiveness. The proposed approach involves leveraging AI algorithms and machine learning models to analyze historical usage data, predict future resource requirements, and dynamically adjust resource allocations accordingly.