Large Scale Cloud

Large-scale cloud computing research focuses on optimizing resource utilization, improving reliability, and enhancing efficiency in massive, distributed systems. Current efforts concentrate on developing intelligent automation for tasks like scheduling, incident management, and fault detection, often leveraging machine learning techniques such as deep learning, reinforcement learning, and large language models to analyze vast datasets and improve decision-making. These advancements are crucial for improving the performance, cost-effectiveness, and sustainability of cloud services, impacting both the efficiency of cloud infrastructure and the development of novel AI applications.