Performance Improvement of a Real-time Traffic Identification System on a Multi-core CPU Environment 


Vol. 37,  No. 5, pp. 348-356, May  2012


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  Abstract

The application traffic analysis is getting more and more challenging due to the huge amount of traffic from high-speed network link and variety of applications running on wired and wireless Internet devices. Multi-level combination of various analysis methods is desired to achieve high completeness and accuracy of analysis results for a real-time analysis system, while requires much of processing burden on the contrary. This paper proposes a novel architecture for a real-time traffic analysis system which improves the processing performance on multi-core CPU environment. The main contribution of the proposed architecture is an efficient parallel processing mechanism with multiple threads of various analysis methods. The feasibility of the proposed architecture was proved by implementing and deploying it on our campus network.

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  Cite this article

[IEEE Style]

S. Yoon, J. Park, M. Kim, "Performance Improvement of a Real-time Traffic Identification System on a Multi-core CPU Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 5, pp. 348-356, 2012. DOI: .

[ACM Style]

Sung-ho Yoon, Jun-sang Park, and Myung-sup Kim. 2012. Performance Improvement of a Real-time Traffic Identification System on a Multi-core CPU Environment. The Journal of Korean Institute of Communications and Information Sciences, 37, 5, (2012), 348-356. DOI: .

[KICS Style]

Sung-ho Yoon, Jun-sang Park, Myung-sup Kim, "Performance Improvement of a Real-time Traffic Identification System on a Multi-core CPU Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 5, pp. 348-356, 5. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880