3 papers
cs.LG2026
Offline Reinforcement-Learning-Based Power Control for Application-Agnostic Energy Efficiency
Akhilesh Raj, Swann Perarnau, Aniruddha Gokhale +1
Energy efficiency has become an integral aspect of modern computing infrastructure design, impacting the performance, cost, scalability, and durability of production systems. The i…
cs.DC2023★ 1 cited
A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes
Akhilesh Raj, Swann Perarnau, Aniruddha Gokhale
As Exascale computing becomes a reality, the energy needs of compute nodes in cloud data centers will continue to grow. A common approach to reducing this energy demand is to limit…
cs.SE2023★ 1 cited
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning
Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao +2
The Distributed Messaging Systems (DMSs) used in IoT systems require timely and reliable data dissemination, which can be achieved through configurable parameters. However, the hig…