Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)

Chapter: Lee Rhodes A Stream Processor for Extracting Usage Intelligence from High-Momentum Internet Data

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Suggested Citation: "Lee Rhodes A Stream Processor for Extracting Usage Intelligence from High-Momentum Internet Data ." National Research Council. 2004. Statistical Analysis of Massive Data Streams: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11098.

Lee Rhodes

A Stream Processor for Extracting Usage Intelligence from High-Momentum Internet Data

Transcript of Presentation

Technical Paper

BIOSKETCH: Lee Rhodes is chief architect for analysis in Hewlett-Packard’s Management Software Organization. During his career at HP he has led numerous research and development efforts in a broad range of technology areas, including fiber optics, integrated circuit design, high-performance graphics software and hardware, CPU architecture, massively parallel processing systems, multimedia and video streaming software, communications software systems, and two- and three-dimensional visualization software.

Since 1996, Mr. Rhodes has been heavily involved in the development of operational systems software for the communications network service provider industry. He has invented a suite of technologies in the area of real-time analysis software that enables Internet service providers to quickly extract key statistical information about subscribers’ usage behavior that is critical to security, network operations, capacity planning, and business product planning. He assembled and managed the R&D team that developed this technology into a commercially successful product.

Mr. Rhodes’ formal educational background includes a master’s degree in electrical engineering from Stanford University where his emphasis was on integrated circuit design and solid-state physics. His undergraduate degree was in physics from the California State University at San Diego.

Suggested Citation: "Lee Rhodes A Stream Processor for Extracting Usage Intelligence from High-Momentum Internet Data ." National Research Council. 2004. Statistical Analysis of Massive Data Streams: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11098.
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