Workload characterization and subsequent prediction are significant steps in maintaining the elasticity and scalability of resources in Cloud Data Centers. Due to the high variance in cloud workloads, ...

The application of AI-generated models demands substantial amounts of data, which not only increases training time and memory consumption but also poses challenges to computation and communication ...