AI-Driven Optimization of Cloud Data Centers: Enhancing Reliability and Cost Efficiency

The existing Internet and Cloud computing services have fuelled the need for data center accommodation that should perform reliably, at a fast-growing rate and with elasticity. Conventional optimization approaches fail to meet all these objectives at once, particularly as far as cost, energy, as well as reliability are concerned in dynamic cloud contexts. AI is changing cloud data centers in terms of its allotment of resources, maintenance, and energy management on the cloud. The following paper aims to discuss the potential of AI solutions for the advancement of reliability and cost-effectiveness of cloud systems. Self-controlled cooling systems enhance energy use, which is a huge saving for operations costs. Also, with the help of AI, one can predict possible security threats and prevent their occurrence at an early stage. There are benefits of implementing an intelligent cloud system in data centers that include cost-effectiveness, low emission of carbon, and high service availability. Consequently, this paper presents an overview of the AI frameworks, their applications, and the issues they encounter during their application. It is important to talk about the trend in the development of AI for automation in the near future and directions for further studies as well.