Xing Chen

Title: Innovations by Xing Chen in Cloud Software Resource Allocation

Introduction

Xing Chen is a notable inventor based in Fujian, China. He has made significant contributions to the field of cloud computing, particularly in resource allocation methods. His innovative approach addresses the challenges of quality of service (QoS) in cloud software services.

Latest Patents

Xing Chen holds 1 patent for his invention titled "Cloud software service resource allocation method based on QoS model self-correction." This patent outlines a method that includes several steps to enhance resource allocation efficiency. The process begins with online self-learning to create a QoS prediction model. It then involves collecting runtime data to improve the model's accuracy through self-correction control. The method constructs a fitness function that combines QoS and cloud resource costs, utilizing an improved particle swarm optimization algorithm to find the optimal resource allocation scheme. The final steps involve comparing current resource allocation with the target scheme and adjusting resources accordingly until optimal allocation is achieved.

Career Highlights

Xing Chen is affiliated with Fuzhou University, where he contributes to research and development in cloud computing technologies. His work focuses on improving the efficiency and effectiveness of cloud resource management.

Collaborations

Xing Chen has collaborated with notable colleagues, including Fangning Zhu and Haijiang Wang. Their combined expertise enhances the research output and innovation in their field.

Conclusion

Xing Chen's contributions to cloud software service resource allocation demonstrate his commitment to advancing technology in this area. His innovative methods provide solutions for effective resource management in cloud computing environments.