Company Filing History:
Years Active: 2012
Title: The Innovations of Bin Rong
Introduction
Bin Rong is an accomplished inventor based in Melbourne, Australia. He has made significant contributions to the field of data stream processing, particularly in the area of failure recovery systems. With a total of 2 patents, his work has garnered attention for its innovative approaches to ensuring data integrity and system reliability.
Latest Patents
Bin Rong's latest patents include "Methods and apparatus for effective on-line backup selection for failure recovery in distributed stream processing systems." This patent outlines a failure recovery framework designed for cooperative data stream processing in large-scale environments. The framework supports multiple independent distributed sites, each with its own administration and goals. It enables timely and automatic recovery from various failures through inter-site cooperation. The framework identifies back-up sites associated with primary sites to manage failures effectively. Additionally, his other patent, "Mechanism for recovery from site failure in a stream processing system," further enhances the reliability of data processing systems by employing both inter-site and intra-site backup mechanisms.
Career Highlights
Bin Rong is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of data processing. His work focuses on developing systems that enhance the efficiency and reliability of data management in distributed environments.
Collaborations
Throughout his career, Bin has collaborated with notable colleagues such as Frederick Douglis and Zhen Liu. These collaborations have contributed to the advancement of technologies in data stream processing and failure recovery systems.
Conclusion
Bin Rong's contributions to the field of data stream processing through his innovative patents and collaborations highlight his role as a leading inventor in this domain. His work continues to influence the development of reliable data management systems.