2 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Generative Anomaly Detection for Time Series Datasets
Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale +2
Traffic congestion anomaly detection is of paramount importance in intelligent traffic systems. The goals of transportation agencies are two-fold: to monitor the general traffic co…