Yuyuan Yuan
Papers
1
Total Citations
3
H-Index
1
About
Yuyuan Yuan is a researcher advancing the frontiers of edge computing and real-time communication systems. Their work focuses on enabling scalable, bounded-time decision-making in distributed edge networks—critical for latency-sensitive applications like smart factories and autonomous vehicles. Yuan’s most-cited paper, “Scalable and Bounded-time Decisions on Edge Device Network using Eclipse Zenoh” (2022), introduces a novel framework that leverages the Eclipse Zenoh protocol to achieve predictable, low-latency data sharing among peer edge devices. This contribution addresses a fundamental challenge in edge computing: ensuring timely, reliable decisions without centralized cloud dependency. With 3 citations, this work has already sparked interest in real-time edge architectures. Yuan’s research bridges the gap between theoretical guarantees and practical deployment, offering solutions that enhance the responsiveness and resilience of embedded computing platforms. Their achievements underscore a commitment to building the communication backbone for next-generation cyber-physical systems, making them a notable voice in the edge computing community.
Research Focus
Key Achievements
Top Papers
- 1