2020
Learning Augmented Energy Minimization via Speed Scaling
NeurIPS 2020spotlight
As power management has become a primary concern in modern data centers, computing resources are being scaled dynamically to minimize energy consumption. We initiate the study of a variant of the classic online speed scaling problem, in which machine learning predictions about the future can be inte…