Keping Chen

Title: Keping Chen: Innovator in Data Processing Technologies

Introduction

Keping Chen is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of data processing, holding a total of 4 patents. His work focuses on improving the efficiency and effectiveness of data handling in computing systems.

Latest Patents

Keping Chen's latest patents include a "Method for processing input/output request, host, server, and virtual machine." This innovative method addresses the challenges of processing I/O requests by optimizing data storage and access. The process involves receiving an I/O write request from a virtual machine, writing the requested data into a local persistent storage area, and determining the file type to manage data storage effectively. This approach reduces access traffic on remote shared storage areas, enhancing overall system performance.

Another notable patent is the "Data distribution method and splitter." This invention outlines a method executed by a splitter to efficiently manage data packets. The process includes parsing received data packets, acquiring identification information, and determining the appropriate thread for data processing. By sending data packets to a cache queue of the determined thread, the method ensures streamlined data handling and improved communication protocols.

Career Highlights

Keping Chen is currently employed at Huawei Technologies Co., Limited, where he continues to innovate in the field of data processing technologies. His work at Huawei has positioned him as a key contributor to advancements in computing systems and data management.

Collaborations

Keping Chen collaborates with talented coworkers, including Yaqiong Li and Fan Fang. Their combined expertise fosters a creative environment that drives innovation and enhances the development of cutting-edge technologies.

Conclusion

Keping Chen's contributions to data processing technologies exemplify his commitment to innovation and excellence. His patents reflect a deep understanding of the complexities of data management, making him a valuable asset in the tech industry.