2 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Software-defined Dynamic 5G Network Slice Management for Industrial Internet of Things
Ziran Min, Shashank Shekhar, Charif Mahmoudi +3
This paper addresses the challenges of delivering fine-grained Quality of Service (QoS) and communication determinism over 5G wireless networks for real-time and autonomous needs o…
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…