Efficient compute-intensive job allocation in data centers via deep reinforcement learning

• Main Authors: Yi, Deliang, Zhou, Xin, Wen, Yonggang, Tan, Rui
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Job Allocation; Data Center
• Online Access: https://hdl.handle.net/10356/161048
• Institution: Nanyang Technological University

Reducing the energy consumption of the servers in a data center via proper job allocation is desirable. Existing advanced job allocation algorithms, based on constrained optimization formulations capturing servers' complex power consumption and thermal dynamics, often scale poorly with the data...