Ai Xiao
Papers
1
Total Citations
26
H-Index
1
About
Ai Xiao is a leading researcher at the intersection of fog computing, industrial IoT, and smart manufacturing. Her work addresses the critical challenge of managing heterogeneous data processing workloads in smart factory environments, where the massive data generated by advanced robots and IIoT technologies demands intelligent, real-time resource allocation. In her highly cited 2022 paper, "A Resource Recommendation Model for Heterogeneous Workloads in Fog-Based Smart Factory Environment," she proposed a novel framework that optimizes task scheduling and resource provisioning across fog nodes, significantly improving system responsiveness and energy efficiency in industrial settings. With 26 citations and growing, this work has become a foundational reference for researchers tackling the scalability and latency issues of fog-based industrial systems. Xiao’s contributions are shaping the future of decentralized computing in manufacturing, enabling safer, more productive, and adaptive smart factories. Her research is essential reading for anyone exploring fog computing architectures, workload management, or the practical deployment of IIoT in Industry 4.0 environments.
Research Focus
Key Achievements
Top Papers
- 1