Dongling Duan

Title: The Innovations of Dongling Duan

Introduction

Dongling Duan is a prominent inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in networking and control plane mechanisms. With a total of 4 patents to his name, Duan's work has had a substantial impact on the efficiency and scalability of network systems.

Latest Patents

One of Duan's latest patents is titled "Hierarchical ECMP Control Plane for Dense Topologies." This patent introduces techniques and mechanisms for a control plane approach that focuses on discovering shared Equal-Cost Multi-Path (ECMP) groups in dense topologies. The approach is independent of per-prefix learning, allowing for the learning of prefixes via these shared ECMP groups instead of one next-hop at a time. This innovation minimizes BGP path scale and corresponding signaling, enabling control plane scaling that is significantly higher than traditional eBGP control planes. Additionally, during link and node topology changes, this control plane approach facilitates prefix-independent signaling, resulting in a lower order of magnitude in control plane signaling. The method also enables prefix-independent convergence (PIC) in scenarios that would otherwise be impossible with traditional FIB-driven path-list sharing.

Career Highlights

Duan has worked with notable companies such as Cisco Technology, Inc. and Amazon Technologies, Inc. His experience in these leading technology firms has allowed him to refine his skills and contribute to groundbreaking innovations in networking technologies.

Collaborations

Throughout his career, Duan has collaborated with esteemed colleagues, including Neeraj Malhotra and Satya Ranjan Mohanty. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Dongling Duan's contributions to the field of networking through his innovative patents and collaborations highlight his role as a significant inventor in the technology sector. His work continues to influence the development of efficient and scalable network systems.