Papers

1

Total Citations

23

H-Index

1

About

Guoming Lu is a rising researcher in the field of edge computing, with a primary focus on computation offloading strategies for resource-constrained Multi-access Edge Computing (MEC) environments. His most cited work, "Computation Offloading in Resource-Constrained Multi-Access Edge Computing" (2024, 23 citations), addresses a critical challenge in modern distributed systems: how to coordinate terminal devices to offload tasks efficiently to edge servers, thereby improving the Quality of Experience (QoE) for individual users and the system as a whole. By emphasizing well-coordinated actions among terminal devices, Lu’s research provides practical solutions for optimizing performance in latency-sensitive and resource-limited scenarios. This work is particularly relevant for applications in IoT, smart cities, and real-time analytics, where edge resources are scarce but demand is high. Though early in his career, Lu’s contributions are already gaining traction, offering a foundation for future advancements in MEC orchestration. His research stands out for its focus on system-level coordination, a key enabler for scalable and efficient edge computing deployments.

Research Focus

Key Achievements

1
H-Index
1
Papers
23
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Computation Offloading in Resource-Constrained Multi-Access Edge Computing
23 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago