Lun-Pin Yuan

Title: Lun-Pin Yuan: Innovator in Network Packet Processing

Introduction

Lun-Pin Yuan is a notable inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of network technology, particularly in software-defined networking (SDN). With a total of two patents to his name, Yuan's work focuses on enhancing the efficiency and functionality of network packet processing devices.

Latest Patents

One of Lun-Pin Yuan's latest patents involves adding multi-tenant awareness to a network packet processing device on a software-defined network (SDN). This innovation introduces a method where 'multi-tenant awareness' is integrated into a set of packet processing devices managed by an SDN controller. For each tenant, a table is created that associates network protocol address attributes with a unique Internet Protocol (IP) address. This table is linked to a multiple-layer translation layer overseen by the SDN controller. As data packets traverse this translation layer, their network protocol address attributes are dynamically translated based on the table's values, enabling logical routing to the appropriate packet processing device. This process occurs 'on-the-fly' as packets are en route to their destinations. By implementing a multi-layer network address translation (NAT), one layer translates source attributes while another translates destination attributes.

Career Highlights

Lun-Pin Yuan is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of network technologies. His work at IBM has allowed him to collaborate with other talented professionals and contribute to cutting-edge advancements in the industry.

Collaborations

Some of Lun-Pin Yuan's coworkers include Ronald B Williams and Cheng-Ta Lee. Their collaboration fosters a creative environment that enhances the development of innovative solutions in network processing.

Conclusion

Lun-Pin Yuan is a distinguished inventor whose work in network packet processing has the potential to transform the way data is managed in software-defined networks. His contributions are paving the way for more efficient and effective networking solutions.