Company Filing History:
Years Active: 2015
Title: Innovations of Jeffrey Terrell in Network Server Performance Anomaly Detection
Introduction
Jeffrey Terrell is an accomplished inventor based in Durham, NC (US). He has made significant contributions to the field of network performance monitoring through his innovative patent. His work focuses on enhancing the efficiency and reliability of network servers.
Latest Patents
One of Jeffrey Terrell's notable patents is titled "Methods, systems, and computer program products for network server performance anomaly detection." This patent discloses methods, systems, and computer-readable media for detecting performance anomalies in network servers. The method involves real-time computation of an endpoint performance measure based on transport and network layer header information. It includes the passive collection of transport and network layer header information from packet traffic in a network. The connections in the network are modeled using an abstract syntax to characterize a sequence of application-level bidirectional interactions between endpoints and the delays between these interactions. The application-level characteristics of the packet traffic are determined based on the modeled connections, and a performance measure of at least one endpoint is computed based on these characteristics.
Career Highlights
Jeffrey Terrell is affiliated with the University of North Carolina at Chapel Hill, where he continues to contribute to research and innovation in network performance. His work has implications for improving the reliability of network services, which is crucial in today's digital landscape.
Collaborations
Some of his notable coworkers include Kevin Jeffay and Frank Donelson Smith, who have collaborated with him on various projects related to network performance and anomaly detection.
Conclusion
Jeffrey Terrell's innovative work in network server performance anomaly detection showcases his expertise and commitment to advancing technology in this critical area. His contributions are valuable to both academic and practical applications in network management.
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