papers
Publications (3)
cs.OS2025
Energy-Efficient Computation with DVFS using Deep Reinforcement Learning for Multi-Task Systems in Edge Computing
Xinyi Li, Ti Zhou, Haoyu Wang +1
Finding an optimal energy-efficient policy that is adaptable to underlying edge devices while meeting deadlines for tasks has always been challenging. This research studies general…
cs.OS2025
Data-driven Software-based Power Estimation for Embedded Devices
Haoyu Wang, Xinyi Li, Ti Zhou +1
Energy measurement of computer devices, which are widely used in the Internet of Things (IoT), is an important yet challenging task. Most of these IoT devices lack ready-to-use har…
cs.LG2023
CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning
Ti Zhou, Man Lin
Small devices are frequently used in IoT and smart-city applications to perform periodic dedicated tasks with soft deadlines. This work focuses on developing methods to derive effi…