Guangdong, China

Kangyou Zhong


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Kangyou Zhong in Small-File Storage Optimization

Introduction

Kangyou Zhong is an accomplished inventor based in Guangdong, China. He has made significant contributions to the field of data storage optimization, particularly in the context of Kubernetes applications. His innovative approach addresses the challenges associated with small-file storage, which is crucial for efficient data management in modern computing environments.

Latest Patents

Kangyou Zhong holds a patent for a "Small-file storage optimization system based on virtual file system in KUBERNETES user-mode application." This system is designed to enhance the performance of target file systems that include a network file system. The invention features a user-mode application that is mounted on a shared directory, facilitating the storage of small files through a virtual file system. The system includes a file block creating and formatting module that generates virtual file blocks for storing small files on object storage devices, thereby optimizing storage efficiency.

Career Highlights

Kangyou Zhong is affiliated with Sun Yat-sen University, where he contributes to research and development in the field of computer science. His work focuses on innovative solutions that improve data storage and retrieval processes, making him a valuable asset to the academic and technological community.

Collaborations

Some of his notable coworkers include Liang Du and Guixin Guo, who collaborate with him on various research projects. Their combined expertise enhances the quality and impact of their work in the field of data storage optimization.

Conclusion

Kangyou Zhong's contributions to small-file storage optimization reflect his commitment to advancing technology in data management. His innovative patent demonstrates the potential for improved efficiency in Kubernetes applications, showcasing the importance of ongoing research in this area.

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