Performance Improvement of the Payload Signature based Traffic Classification System Using Application Traffic Locality 


Vol. 38,  No. 7, pp. 519-525, Jul.  2013


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  Abstract

The traffic classification is a preliminary and essential step for stable network service provision and efficient network resource management. However, the payload signature-based method has a significant drawback in high-speed network environment that the processing speed is much slower than other method such as header-based and statistical methods. In this paper, We propose the server IP, Port cache-based traffic classification method using application traffic locality to improve the processing speed of traffic classification. The suggested method achieved about 10 folds improvement in processing speed and 10% improvement in completeness over the payload-based classification system.

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  Cite this article

[IEEE Style]

J. Park, S. Yoon, M. Kim, "Performance Improvement of the Payload Signature based Traffic Classification System Using Application Traffic Locality," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 7, pp. 519-525, 2013. DOI: .

[ACM Style]

Jun-Sang Park, Sung-Ho Yoon, and Myung-Sup Kim. 2013. Performance Improvement of the Payload Signature based Traffic Classification System Using Application Traffic Locality. The Journal of Korean Institute of Communications and Information Sciences, 38, 7, (2013), 519-525. DOI: .

[KICS Style]

Jun-Sang Park, Sung-Ho Yoon, Myung-Sup Kim, "Performance Improvement of the Payload Signature based Traffic Classification System Using Application Traffic Locality," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 7, pp. 519-525, 7. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880