This inventor holds 2 USPTO granted patents. Top assignee: Arcserve (USA) LLC. Active years: 2019-2023.
Company Filing History:
Years Active: 2019-2023
Title: Innovations by Zhonghua Dang
Introduction
Zhonghua Dang is a notable inventor based in Beijing, China. He has made significant contributions to the field of data backup and file management. With a total of 2 patents, his work focuses on improving the efficiency and reliability of incremental backup systems.
Latest Patents
One of Zhonghua Dang's latest patents is a method for detecting source changes for file-level incremental backups. This innovative system identifies new, modified, unchanged, and deleted files through a file list maintained on the backup destination. The FileList is a flat file that stores information about each file on a source node sequentially. During subsequent incremental backups, the FileList is read from the backup destination to generate a search tree. A hash value based on the file path serves as the key to the search tree, with the file's modified time and size hashed together to form the value of the key-value pair. The system examines files on the source and compares them to the key-value pairs in the search tree. Status information in the search tree is updated to indicate discovered files, while unmodified status information identifies files that have been deleted since the previous backup.
Career Highlights
Zhonghua Dang is currently employed at Arcserve LLC, where he continues to develop innovative solutions for data management. His expertise in incremental backup systems has positioned him as a valuable asset to the company.
Collaborations
Zhonghua has collaborated with several talented individuals in his field, including Zhenqiu Fang and Lei Li. Their combined efforts contribute to the advancement of technology in data backup solutions.
Conclusion
Zhonghua Dang's contributions to the field of data management through his innovative patents demonstrate his commitment to enhancing backup systems. His work continues to influence the industry and improve data reliability for users worldwide.