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dc.contributor.authorMerugu, Shashidharen_US
dc.contributor.authorGummalla, Ajay Chandra V.
dc.contributor.authorSala, Dolors
dc.contributor.authorZegura, Ellen W.
dc.date.accessioned2005-06-17T17:43:08Z
dc.date.available2005-06-17T17:43:08Z
dc.date.issued2001en_US
dc.identifier.urihttp://hdl.handle.net/1853/6566
dc.description.abstractMulti-dimensional packet classification is increasingly important for applications ranging from fire-walls to traffic accounting. Fast link speeds, the desire to classify with fine granularity, and the need for agility in a dynamic environment all pose significant challenges for packet classification. We propose an approach that is capable of handling a changing set of classification rules that span multiple fields. Our approach is based on extracting a relatively small set of bits that uniquely identify the packets satisfying each rule. Changes to the rule set are handled in-line via a fast update mode that adds to the rule table, while a background process performs reoptimization of the full rule table less frequently. The classification process can be efficiently implemented using pipelined hardware and supports high packet arrival rate.en_US
dc.format.extent304801 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCC Technical Report; GIT-CC-01-11en_US
dc.subjectPacket classification
dc.subjectAlgorithms
dc.titleFast Packet Classification with a Varying Rule Seten_US
dc.typeTechnical Reporteng_US


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