This inventor holds 7 USPTO granted patents. Top assignee: Nortel Networks Corporation. Active years: 2004-2005.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2004-2005
Title: Carl F Cao: Innovator in Data Flow Classification
Introduction
Carl F Cao is a notable inventor based in Nepean, Canada. He has made significant contributions to the field of data flow classification, holding a total of 7 patents. His work focuses on developing systems and methods that enhance the efficiency and accuracy of data management.
Latest Patents
One of his latest patents is titled "Configurable rule-engine for layer-7 and traffic characteristic-based classification." This invention presents a system and method for data flow classification based on a configurable rule-engine. The system includes a data flow managing mechanism that identifies, tracks, and manages data flows, along with a rule set for comparing information within the data flow against pre-specified values. Additionally, it features a configurable classification rule engine that classifies data flows into various traffic classes based on comparison results. This engine can be modified and reconfigured through a configuration file, allowing for flexibility in managing data flows.
Another significant patent is the "Apparatus and method for classifying data packet flows." This invention combines static and dynamic classification techniques to optimize data flow classification. Initially, a flow is classified using a static method while a dynamic classification method is simultaneously initiated. If the classifications from both methods converge, the dynamic method takes precedence. This approach allows for quick initial classification while ensuring accuracy through dynamic techniques.
Career Highlights
Carl F Cao has been associated with Nortel Networks Corporation, where he has contributed to various innovative projects. His expertise in data flow management has positioned him as a key player in the development of advanced classification systems.
Collaborations
Throughout his career, Carl has collaborated with notable colleagues, including Yajun Liu and Nabil Seddigh. These collaborations have further enriched his work and contributed to the advancement of technology in data classification.
Conclusion
Carl F Cao's contributions to data flow classification through his innovative patents and collaborations highlight his significant role in the field. His work continues to influence the way data is managed and classified, showcasing the importance of innovation in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
