National Academies Press: OpenBook

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

« Previous: TRANSCRIPT OF PRESENTATION
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.
×
Page 298

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

A STREAM PROCESSOR FOR EXTRACTING USAGE INTELLIGENCE FROM HIGH-MOMENTUM INTERNET DATA 298 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.

Next: TRANSCRIPT OF PRESENTATION »
Statistical Analysis of Massive Data Streams: Proceedings of a Workshop Get This Book
×
 Statistical Analysis of Massive Data Streams: Proceedings of a Workshop
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

Massive data streams, large quantities of data that arrive continuously, are becoming increasingly commonplace in many areas of science and technology. Consequently development of analytical methods for such streams is of growing importance. To address this issue, the National Security Agency asked the NRC to hold a workshop to explore methods for analysis of streams of data so as to stimulate progress in the field. This report presents the results of that workshop. It provides presentations that focused on five different research areas where massive data streams are present: atmospheric and meteorological data; high-energy physics; integrated data systems; network traffic; and mining commercial data streams. The goals of the report are to improve communication among researchers in the field and to increase relevant statistical science activity.

READ FREE ONLINE

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  6. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  7. ×

    View our suggested citation for this chapter.

    « Back Next »
  8. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!