OPTIMIZATION OF RESOURCE ALLOCATION IN CLOUD COMPUTING ENVIRONMENTS UTILIZING ARTIFICIAL INTELLIGENCE TECHNIQUES

Abstract

Cloud computing has revolutionized the way businesses and organizations operate by providing scalable, flexible, and cost-effective computing resources on-demand. However, the dynamic nature of cloud environments and the increasing complexity of user requirements pose significant challenges in terms of efficient resource allocation. This research article explores the application of artificial intelligence (AI) techniques to optimize resource allocation in cloud computing environments. By leveraging machine learning algorithms and intelligent decision-making processes, the proposed approaches aim to enhance the utilization of cloud resources, minimize costs, and improve overall system performance. The article presents a comprehensive analysis of existing AI-based resource allocation strategies, discusses their advantages and limitations, and proposes novel frameworks that integrate multiple AI techniques to address the challenges associated with resource allocation in cloud computing. The research findings demonstrate the potential of AI in enabling autonomous and adaptive resource management, leading to improved efficiency, scalability, and user satisfaction in cloud computing environments.