St. Anthony, MN, United States of America

Changjun Bai


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations by Changjun Bai in Erasure-Coded Storage Systems

Introduction

Changjun Bai is an accomplished inventor based in St. Anthony, Minnesota. He has made significant contributions to the field of data storage, particularly in improving write performance in erasure-coded storage systems. His innovative approach has led to the development of a patented method that enhances the efficiency and effectiveness of data management.

Latest Patents

Changjun Bai holds a patent for a "Method and system for improved write performance in erasure-coded storage systems." This invention includes methods, computer program products, and computer systems designed to provide improved write performance in an efficient manner. The patent outlines a process that involves identifying a data segment and its associated metadata, persisting the data segment to a storage system, and storing the metadata in a journal. Notably, the metadata comprises a fingerprint of the data segment, which facilitates its association with the data segment. This method allows for persisting the data segment without storing it in a journal, specifically within an erasure-coded storage system.

Career Highlights

Changjun Bai is currently employed at Veritas Technologies LLC, where he continues to innovate in the field of data storage solutions. His work focuses on enhancing the performance and reliability of storage systems, making significant strides in the industry.

Collaborations

Changjun has collaborated with notable colleagues, including Xianbo Zhang and Anindya Banerjee. Their combined expertise contributes to the advancement of technology in data storage.

Conclusion

Changjun Bai's contributions to the field of erasure-coded storage systems exemplify the impact of innovative thinking in technology. His patented methods not only improve write performance but also enhance the overall efficiency of data management systems.

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