Company Filing History:
Years Active: 2016
Title: Innovations of Nickolay V Tchervenski
Introduction
Nickolay V Tchervenski is a notable inventor based in Newmarket, Canada. He has made significant contributions to the field of database systems, particularly in minimizing communication within cluster database systems. His innovative approach has led to the development of a unique patent that addresses critical challenges in data management.
Latest Patents
Tchervenski holds a patent titled "Methods to minimize communication in a cluster database system." This patent outlines a method for ordering operations in log records, which includes performing update operations on a database object by a node. The process involves writing log records for these updates into a local buffer, each containing a local virtual timestamp. The method further details how a log flush is performed to write these records to persistent storage, ensuring that the log records include both the local virtual timestamps and the log flush sequence number. This innovation is crucial for enhancing the efficiency of database operations.
Career Highlights
Nickolay V Tchervenski is currently employed at International Business Machines Corporation (IBM), where he continues to work on advancing technology in database systems. His expertise and innovative mindset have positioned him as a valuable asset in his field. With a focus on improving communication protocols in database management, Tchervenski's work is paving the way for more efficient data handling.
Collaborations
Throughout his career, Tchervenski has collaborated with talented professionals, including Ronen Grosman and Matthew Albert Huras. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective projects.
Conclusion
Nickolay V Tchervenski's contributions to the field of database systems through his patent and work at IBM highlight his role as an influential inventor. His innovative methods are set to make a lasting impact on how data is managed and communicated in cluster database systems.