Artificial Intelligence in Cloud Infrastructure: Towards Autonomous Management and Fault Tolerance

Abstract

As cloud infrastructure continues to evolve, the complexity of managing and maintaining these systems has increased significantly. Artificial Intelligence (AI) offers promising solutions for enhancing cloud infrastructure through autonomous management and fault tolerance. This paper explores the integration of AI technologies within cloud environments, focusing on autonomous management strategies and fault-tolerant mechanisms. We present a comprehensive review of recent advancements in AI applications for cloud infrastructure, including machine learning algorithms for predictive maintenance, anomaly detection, and automated resource allocation. By leveraging AI-driven techniques, cloud systems can achieve improved efficiency, reliability, and scalability. We also discuss the challenges and limitations associated with implementing AI in cloud environments, such as data privacy concerns and integration complexities. Through case studies and empirical data, we demonstrate the effectiveness of AI in enhancing cloud infrastructure performance and resilience. This paper aims to provide a roadmap for future research and development in AI-driven cloud management, highlighting key areas for innovation and improvement.