Location History:
- Shanghai, CN (2014 - 2020)
- Chang Ping District, CN (2020)
- Beijing, CN (2020 - 2023)
Company Filing History:
Years Active: 2014-2023
Title: Inventor Spotlight: Tian Ming Pan
Introduction
Tian Ming Pan is a notable inventor based in Beijing, China, recognized for his significant contributions to technology and innovation. With a remarkable portfolio comprising 18 patents, he continues to influence the field of computer science, particularly in microservice systems.
Latest Patents
Among his latest innovations, Tian Ming Pan has developed techniques for enhanced bottleneck analysis in microservice systems. This invention includes a computer-implemented method where a processor executes bottleneck model training processes. It filters training data based on the current situation, builds a bottleneck indicator model using insights from the training process, and provides system alerts when bottlenecks are detected. Another significant patent involves predicting the operational status of a target system. Using historical performance indicators, a processor determines the qualifications of training samples to develop a prediction model that forecasts the system's status based on performance at a future point in time.
Career Highlights
Tian Ming Pan works with the International Business Machines Corporation (IBM), a leader in technology and consulting. His innovative methodologies in microservice system management exemplify his commitment to advancing technology and enhancing system efficiencies.
Collaborations
Throughout his career, Tian Ming Pan has collaborated with distinguished colleagues, including Peng Fei Tian and Randy Allan Rendahl. These partnerships have fostered an environment of creativity and innovation, enabling the development of groundbreaking solutions in the technology sector.
Conclusion
Tian Ming Pan's contributions to technology through his patents and collaborative efforts underscore his status as an influential inventor in the realm of microservices and system management. His work not only enhances operational efficiencies but also sets new standards in predictive analysis within computer systems.