This inventor holds 2 USPTO granted patents. Top assignees: Emc Corporation, Emc IP Holding Company LLC. Active years: 2014-2017.
Company Filing History:
Years Active: 2014-2017
Title: Lun Zhou: Innovator in Data Provenance Technologies
Introduction
Lun Zhou is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of computing infrastructure, particularly in the area of data provenance. With a total of 2 patents, his work focuses on enhancing the reliability and efficiency of computing systems.
Latest Patents
Lun Zhou's latest patents revolve around the concept of data provenance in computing infrastructure. The techniques disclosed in his patents involve generating data provenance associated with a computing system. For instance, one method captures information related to the execution of a specific process within a computing environment. A provenance data set is then generated based on this captured information. This data set includes various states associated with execution components, such as virtual machines and storage units, that existed during the process execution. Notably, a portion of this generated provenance data can be utilized to revert the computing environment back to its previous states, ensuring data integrity and system reliability.
Career Highlights
Throughout his career, Lun Zhou has worked with notable companies, including EMC Corporation and EMC IP Holding Company LLC. His experience in these organizations has allowed him to develop and refine his innovative ideas in data provenance and computing technologies.
Collaborations
Lun Zhou has collaborated with esteemed colleagues, including Qiyan Chen and Stephen J. Todd. These partnerships have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Lun Zhou stands out as a key figure in the realm of data provenance technologies. His innovative patents and career achievements reflect his dedication to improving computing infrastructure. His work continues to influence the field and pave the way for future advancements in data management.
