Publication result detail

Efficient Packet Classification Algorithm Based on Entropy

KAJAN, M.; KOŘENEK, J.

Original Title

Efficient Packet Classification Algorithm Based on Entropy

English Title

Efficient Packet Classification Algorithm Based on Entropy

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This paper deals with packet classification in high-speed networks. It introduces a novel method for packet classification based on the amount of information stored in the ruleset. Basic principles of the algorithm based on the effort to reduce the amount of the necessary memory space and number of computational steps are presented together with analysis of the input rulesets.

English abstract

This paper deals with packet classification in high-speed networks. It introduces a novel method for packet classification based on the amount of information stored in the ruleset. Basic principles of the algorithm based on the effort to reduce the amount of the necessary memory space and number of computational steps are presented together with analysis of the input rulesets.

Keywords

Packet Classification, Algorithms, Entropy

Key words in English

Packet Classification, Algorithms, Entropy

Authors

KAJAN, M.; KOŘENEK, J.

RIV year

2011

Released

30.10.2010

Publisher

Association for Computing Machinery

Location

La Jolla

ISBN

978-1-4503-0379-8

Book

Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems

Pages from

11

Pages to

12

Pages count

2

URL

https://www.fit.vut.cz/research/publication/9388/

BibTex

@inproceedings{BUT35049,
  author="Michal {Kajan} and Jan {Kořenek}",
  title="Efficient Packet Classification Algorithm Based on Entropy",
  booktitle="Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems",
  year="2010",
  pages="11--12",
  publisher="Association for Computing Machinery",
  address="La Jolla",
  doi="10.1145/1872007.1872021",
  isbn="978-1-4503-0379-8",
  url="https://www.fit.vut.cz/research/publication/9388/"
}

Documents

ancs2010