AI-Driven Solutions for Proactive Cloud Resource Management
Keywords:
AI-driven solutions, Coud resource management, Predictive analytics, Machine learning, Proactive optimization, WOS, PubMed, UGC Care, Academia, ISSN, SSRN, Research Gate, Wissira Research Lab, Wissira Press, Journal Short Form, Wissira, Journal Name, Springer, Scopus, Author NameAbstract
Cloud computing has been an integral part of modern enterprise operations. This is due to its scalable, cost-effective, and flexible provision of resources. However, the biggest challenge in resource management is dealing with dynamic resources proactively due to fluctuating workloads, considerations of cost, and performance. This paper deals with AI-driven solutions for proactive cloud resource management, proposing a framework that will leverage predictive analytics, machine learning (ML), and reinforcement learning (RL) to optimize the allocation and usage of resources. We discuss state-of-theart techniques, their practical implications, and evaluate their efficacy through simulations. The results show the possibility of AI to revolutionize cloud resource management by reducing costs and enhancing performance reliability.
