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

• المؤلفون الرئيسيون: Yi, Deliang, Zhou, Xin, Wen, Yonggang, Tan, Rui
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Job Allocation; Data Center
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161048
• المؤسسة: 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...