Papers

Kajan, M., Kořenek, J.: Efficient packet classification algorithm based on entropy, In: Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, La Jolla, US, ACM, 2010, p. 11-12, ISBN 978-1-4503-0379-8
Publication language:english
Original title:Efficient Packet Classification Algorithm Based on Entropy
Title (cs):Efektivní klasifikace paketů založena na entropii
Pages:11-12
Proceedings:Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
Conference:ACM/IEEE Symposium on Architectures for Networking and Communications Systems 2010
Place:La Jolla, US
Year:2010
ISBN:978-1-4503-0379-8
Publisher:Association for Computing Machinery
URL: [PDF]
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Keywords
Packet Classification, Algorithms, Entropy
Annotation
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.
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.
BibTeX:
@INPROCEEDINGS{
   author = {Michal Kajan and Jan Kořenek},
   title = {Efficient Packet Classification Algorithm Based on Entropy},
   pages = {11--12},
   booktitle = {Proceedings of the 6th ACM/IEEE Symposium on Architectures
	for Networking and Communications Systems},
   year = {2010},
   location = {La Jolla, US},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-4503-0379-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9388}
}

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