Zhejiang, China

Guoyun Zhu


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Guoyun Zhu: Innovator in Data Consistency Across Storage Systems

Introduction

Guoyun Zhu is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of data management, particularly in ensuring data consistency across different storage systems. His innovative approach addresses critical challenges faced by organizations in managing data integrity.

Latest Patents

Guoyun Zhu holds a patent for a method titled "Method for keeping data consistent across different storage systems, computing device, and storage medium." This patent outlines a comprehensive method and apparatus for maintaining data consistency. The process involves updating a first storage system, making first data unreadable, and managing version numbers associated with primary keys. The method ensures that when data is read from a second storage system, it is compared with the latest version number to determine consistency. If the data is consistent, it is updated in the second storage system using an atomic operation.

Career Highlights

Guoyun Zhu is currently employed at Alibaba Cloud Computing Co., Ltd., where he continues to develop innovative solutions for data management. His work has been instrumental in enhancing the reliability of cloud computing services. With a focus on data consistency, he has contributed to the advancement of technologies that support efficient data storage and retrieval.

Collaborations

Guoyun Zhu collaborates with talented professionals in his field, including Huan Liu and Ruo Wang. These collaborations foster an environment of innovation and creativity, leading to the development of cutting-edge solutions in data management.

Conclusion

Guoyun Zhu's contributions to the field of data consistency are noteworthy. His patent and work at Alibaba Cloud Computing Co., Ltd. highlight his commitment to advancing technology in data management. His innovative methods are essential for organizations seeking to maintain data integrity across various storage systems.

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