Jing Chen

Title: Innovations of Jing Chen in Computing Power Networks

Introduction

Jing Chen is a notable inventor based in Jinan, China, recognized for his contributions to the field of computing power networks. With a total of 2 patents, he has developed innovative methods and systems that enhance the efficiency of network performance.

Latest Patents

One of his latest patents is titled "Method and system for computing power network scheduling service based on comprehensive weight decision of network performance." This invention provides a computing power network service platform that integrates filtered storage platforms and computing power platforms from different data centers. It constructs a multi-objective optimization function that considers various network performance indicators to determine the optimal combination of storage and computing power platforms that meet user demands. The system effectively deploys user jobs and computational data to the selected platforms for efficient storage and computation.

Another significant patent is "Dynamic equivalent circuit of combined heat and power system, and working method thereof." This patent introduces a dynamic equivalent circuit model that represents a combined heat and power system using controlled sources and equivalent components. The model simplifies the simulation of thermoelectric heterogeneous energy sources, making it easier to develop and maintain the simulation system.

Career Highlights

Jing Chen has worked at prestigious institutions such as Shandong University and the Shandong Computer Science Center, which is recognized as the National Supercomputer Center in Jinan. His work in these organizations has contributed to advancements in computing technologies and energy systems.

Collaborations

Throughout his career, Jing has collaborated with notable colleagues, including Bo Sun and Chenghui Zhang, who have contributed to his research and development efforts.

Conclusion

Jing Chen's innovative patents and career achievements highlight his significant impact on the field of computing power networks. His work continues to influence advancements in technology and energy systems, showcasing the importance of innovation in today's digital landscape.