D. Taylor

Washington University in St. Louis, San Luis, Missouri, United States

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Publications (3)0 Total impact

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    ABSTRACT: As the focus of networking research shifts from raw performance to the delivery of advanced network services, there is a growing need for open-platform systems for extensible networking research. The Applied Research Laboratory at Washington University in Saint Louis has developed a flexible network services platform (NSP) to meet this need. The NSP provides an extensible platform for prototyping next-generation network services and applications. The paper describes the design of a system-on-chip packet processor for the NSP which performs all core packet processing functions, including segmentation and reassembly, packet classification, route lookup, and queue management. Targeted to a commercial configurable logic device, the system is designed to support gigabit links and switch fabrics with a 2:1 speed advantage. We provide resource consumption results for each component of the packet processor design.
    Full-text · Conference Paper · Jan 2004
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    E. Spitznagel · D. Taylor · J Turner
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    ABSTRACT: CAMs are the most popular practical method for implementing packet classification in high performance routers. Their principal drawbacks are high power consumption and inefficient representation of filters with port ranges. A recent paper [Narlikar, et al., 2003] showed how partitioned TCAMs could be used to implement IP route lookup with dramatically lower power consumption. We extend the ideas in [Narlikar, et al., 2003] to address the more challenging problem of general packet classification. We describe two extensions to the standard TCAM architecture. The first organizes the TCAM as a two level hierarchy in which an index block is used to enable/disable the querying of the main storage blocks. The second incorporates circuits for range comparisons directly within the TCAM memory array. Extended TCAMs can deliver high performance (100 million lookups per second) for large filter sets (100,000 filters), while reducing power consumption by a factor of ten and improving space efficiency by a factor of three.
    Full-text · Conference Paper · Dec 2003
  • E. Spitznagel · D. Taylor · J. Turner

    No preview · Article · Jan 2003

Publication Stats

161 Citations

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Institutions

  • 2003-2004
    • Washington University in St. Louis
      • • Department of Computer Science and Engineering
      • • Department of Electrical and Systems Engineering
      San Luis, Missouri, United States