Title:
Fast Packet Classification with a Varying Rule Set
Fast Packet Classification with a Varying Rule Set
Authors
Merugu, Shashidhar
Gummalla, Ajay Chandra V.
Sala, Dolors
Zegura, Ellen W.
Gummalla, Ajay Chandra V.
Sala, Dolors
Zegura, Ellen W.
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Abstract
Multi-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.
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Date Issued
2001
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304801 bytes
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Text
Resource Subtype
Technical Report