Company Filing History:
Years Active: 1996-2018
Title: The Innovative Contributions of Robert B. Hagmann
Introduction
Robert B. Hagmann, an accomplished inventor based in Palo Alto, CA, is renowned for his significant contributions to the field of technology and parallel processing systems. With a total of 13 patents to his name, Hagmann's inventions have had a profound impact on optimizing processing efficiency in large-scale systems.
Latest Patents
One of Robert B. Hagmann's latest patents is titled "Identifying Task Instance Outliers Based on Metric Data in a Large Scale Parallel Processing System." This innovative method involves receiving metric data related to the execution of multiple task instances. It includes analyzing deviations in performance metrics for these tasks, combining deviation measurements that exceed a certain threshold, and ranking these values to identify outliers. This groundbreaking method enhances the performance monitoring and optimization of parallel processing systems.
Career Highlights
Hagmann's career has been marked by his tenure at leading technology companies, including Sun Microsystems, Inc. and Sybase, Inc. His work in these organizations has helped to shape the technological landscape, particularly in the areas of software development and system performance analytics.
Collaborations
Throughout his career, Robert B. Hagmann has had the opportunity to collaborate with notable professionals, including Mark Tsimelzon and Aleksey Sanin. Their combined expertise in technology and innovation has undoubtedly contributed to the success of the projects they have undertaken together.
Conclusion
Robert B. Hagmann’s contributions as an inventor have laid the groundwork for advancements in technology and performance analysis. With a robust portfolio of patents and collaborations with esteemed colleagues, he continues to influence the industry with his innovative solutions and insights. As technology evolves, Hagmann's work will remain pivotal in the ongoing pursuit of efficiency and performance in parallel processing systems.