Scalable packet classification

By Florin Baboescu, George Varghese. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2001

375 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Forwarding in a content-based network (2003, background): “This decision process, also called packet classification, has been studied extensively and admits fast solutions [3].”
Survey and taxonomy of packet classification techniques (2005, methodology): “Some of the most promising algorithmic research embraces the practice of leveraging the statistical structure of filter sets to improve average performance [Gupta and McKeown 1999a; Baboescu and Varghese 2001; Baboescu et al. 2003; Gupta and McKeown 1999b; Singh et al. 2003].”
Packet classification for core routers: is there an alternative to CAMs? (2003, methodology): “However, if the number of rules is small, on the order of hundreds, the phenomenon of false matching described in [1] may limit the performance of ABV .”
Packet classification using multidimensional cutting (2003, background): “In the last v e years, a large number of papers on packet classication([1, 2, 3, 4 , 5, 6, 7, 8]) have been published.”
Packet classification in large ISPs: design and evaluation of decision tree classifiers (2005, background): “Packet classification is extensively deployed at the core and the edge of the Internet and is a well studied problem (e.g.[18, 24, 14, 15, 25, 11, 20, 16, 3 , 2, 21]).”