Shanghai, China

Huizi Liu


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):

Title: Huizi Liu: Innovator in Dynamic Topology Switching

Introduction

Huizi Liu is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of data replication technology. With a total of 2 patents, Liu's work focuses on enhancing the efficiency and reliability of data systems.

Latest Patents

One of Huizi Liu's latest patents is titled "Dynamic Topology Switch for Data Replication." This patent involves systems, software, and computer-implemented methods for performing a dynamic topology switch during a failover operation. In this innovation, a failover of a first node is determined, which includes a first data server and a first replication server. At least one user application connects to the first data server prior to the failover. In response to the determined failover, the user application is connected to a second data server of a second node. The second node also includes a second data server and a second replication server. Before the failover, the data replication topology of the second node is a remote topology. During the failover, if the first replication server on the first node is down, the data replication topology of the second node switches from the remote topology to a local topology.

Career Highlights

Huizi Liu is currently employed at SAP SE, where he continues to develop innovative solutions in data management and replication. His work has been instrumental in advancing the capabilities of data systems, making them more resilient and efficient.

Collaborations

Some of Huizi Liu's notable coworkers include Zheng-Wei Wang and Jian Luo. Their collaborative efforts contribute to the innovative environment at SAP SE.

Conclusion

Huizi Liu's contributions to the field of data replication through his patents demonstrate his commitment to innovation and technology advancement. His work continues to influence the way data systems operate, ensuring greater reliability and efficiency.

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