Feature Study on a Programmable Network Traffic Classifier

Keissy Guerra Perez, Xin Yang, Sandra Scott-Hayward, Sakir Sezer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
260 Downloads (Pure)


Monitoring and tracking of IP traffic flows are essential for network services (i.e. packet forwarding). Packet header lookup is the main part of flow identification by determining the predefined matching action for each incoming flow. In this paper, an improved header lookup and flow rule update solution is investigated. A detailed study of several well-known lookup algorithms reveals that searching individual packet header field and combining the results achieve high lookup speed and flexibility. The proposed hybrid lookup architecture is comprised of various lookup algorithms, which are selected based on the user applications and system requirements.
Original languageEnglish
Title of host publication2016 29th IEEE International System-on-Chip Conference (SOCC): Proceedings
Number of pages6
ISBN (Electronic)978-1-5090-1367-8
Publication statusPublished - 24 Apr 2017
Event29th IEEE International System-on-Chip Conference - Renaissance Seattle Hotel, Seattle, United States
Duration: 06 Sep 201609 Sep 2016

Publication series

NameInternational SOC Conference (SOCC). Proceedings
ISSN (Print)2164-1676


Conference29th IEEE International System-on-Chip Conference
Abbreviated titleIEEE SOCC 2016
CountryUnited States
Internet address


  • packet classification; multi-dimensional lookup; TCAM


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