Public Cloud

Public cloud computing facilitates on-demand access to scalable computing resources, driving research into efficient resource allocation and workload optimization. Current research focuses on improving performance monitoring through machine learning models (e.g., using denoising autoencoders and transfer learning) to address interference and optimize resource sharing among multiple users, as well as developing faster online policy learning frameworks for dynamic environments. These advancements are crucial for improving the efficiency, cost-effectiveness, and reliability of cloud-based applications across diverse fields, from robotics and high-energy physics to big data analytics.