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Comparison Study Of Packet Classification Algorithms In Wired Networks

Marwan Salim Mahmoud et al · University of Mosul, College of Education for Pure Science · 2012

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ABSTRACT<br /> The packet classification technique play an important role for many internet advanced services that require the capability to distinguish traffic in different flows, such as routers and security services like firewalls and packet filters. This paper provide a brief introduction for packet classification process. Beside, the categorization of the algorithms that classify packets to different flow. Also, this paper give a brief description of two homogenous algorithms (algorithms that belongs to same category), these algorithms are Tuple Space Search (TSS) and Recursive Flow Classification (RFC). Furthermore, this paper provides a comparative evaluation of these two algorithms (TSS & RFC). The evaluation of these techniques are done under Linux REDHAT 5.0 platform in order to analyze and compare their performance between each other. In particular, the comparison focuses on achieving a good classification time in classification process and, low memory consumption rate.

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APA 7

al, M. S. M. E. (2012). Comparison Study Of Packet Classification Algorithms In Wired Networks. https://doi.org/10.33899/edusj.2012.59000

MLA

al, Marwan Salim Mahmoud et. "Comparison Study Of Packet Classification Algorithms In Wired Networks." 2012. https://doi.org/10.33899/edusj.2012.59000.

Chicago

al, Marwan Salim Mahmoud et. 2012. "Comparison Study Of Packet Classification Algorithms In Wired Networks.". https://doi.org/10.33899/edusj.2012.59000.

Harvard

al, M. S. M. E. 2012, Comparison Study Of Packet Classification Algorithms In Wired Networks, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2012.59000 [Accessed 6 Aug. 2026].

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Title
Comparison Study Of Packet Classification Algorithms In Wired Networks
Author / contributors
Marwan Salim Mahmoud et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English

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