AI for next generation computing: Emerging trends and future directions

Autonomic computing investigates how systems can achieve (user) specified control outcomes on their own, without the intervention of a human operator. fundamentals have been substantially influenced by those theory for closed and open-loop systems. In practice, complex may exhibit number concurrent inter-dependent loops. Despite research into autonomic models managing computer resources, ranging from individual resources (e.g., web servers) to resource ensemble multiple within data center), integrating Artificial Intelligence (AI) Machine Learning (ML) improve autonomy performance at scale continues be fundamental challenge. The integration AI/ML such self-management achieved different levels granularity, full human-in-the-loop automation. this article, leading academics, researchers, practitioners, engineers, scientists in fields cloud computing, AI/ML, quantum join discuss current potential future directions these fields. Further, we challenges opportunities leveraging AI ML next generation emerging paradigms, including cloud, fog, edge, serverless environments.