Resource Utilization

Resource utilization research focuses on optimizing the efficiency of resource allocation and management across diverse domains, from data management in AI to scheduling in cloud computing. Current research emphasizes developing novel algorithms and model architectures, such as reinforcement learning frameworks for online scheduling and large language models for data analysis and scenario generation, to improve resource efficiency and prediction accuracy. These advancements have significant implications for various fields, improving the performance of AI systems, optimizing resource allocation in cloud computing and other large-scale systems, and enhancing the efficiency of industrial processes.