AI-Driven Dynamic Resource Management in Cloud Computing Environments

Abstract

This article explores the potential of artificial intelligence (AI) to improve resource management in cloud computing environments. It examines the development of AI-driven approaches to dynamic resource allocation and investigates the implications for cloud computing performance. The article will provide an overview of the current state of AI-driven resource management and discuss its potential to automate resource allocation decisions, including the trade-offs between cost, performance and efficiency. The article will also explore the challenges of implementing AI- driven dynamic resource management and the potential implications for cloud computing providers and users. Finally, it will consider the implications of AI-driven dynamic resource management for the future of cloud computing.