B. Indira1,*, K. Valarmathi2
Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 795-805, 2020, DOI:10.32604/iasc.2020.010114
Abstract Packet classification is a major bottleneck in Software Defined Network (SDN).
Each packet has to be classified based on the action specified in each rule in the
given flow table. To perform classification, the system requires much of the CPU
clock time. Therefore, developing an efficient packet classification algorithm is
critical for high speed inter networking. Existing works make use of exact
matching, range matching and longest prefix matching for classification and
these techniques sometime enlarges rule databases, thus resulting in huge
memory consumption and inefficient searching performance. In order to select an
efficient packet classification algorithm with less memory… More >
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