Flow Labeling Method for Realtime Detection of Heavy Traffic Sources


KIPS Transactions on Computer and Communication Systems, Vol. 2, No. 10, pp. 421-426, Oct. 2013
10.3745/KTCCS.2013.2.10.421,   PDF Download:

Abstract

As a greater amount of traffic have been generated on the Internet, it becomes more important to know the size of each flow. Many research studies have been conducted on the traffic measurement, and mostly they have focused on how to increase the measurement accuracy with a limited amount of memory. In this paper, we propose an explicit flow labeling technique that can be used to find out the names of the top flows and to increase the counting upper bound of the existing scheme. The labeling technique is applied to CSM (Counter Sharing Method), the most recent traffic measurement algorithm, and the performance is evaluated using the CAIDA dataset.


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Cite this article
[IEEE Style]
K. H. Lee and D. H. Nyang, "Flow Labeling Method for Realtime Detection of Heavy Traffic Sources," KIPS Transactions on Computer and Communication Systems, vol. 2, no. 10, pp. 421-426, 2013. DOI: 10.3745/KTCCS.2013.2.10.421.

[ACM Style]
Kyung Hee Lee and Dae Hun Nyang. 2013. Flow Labeling Method for Realtime Detection of Heavy Traffic Sources. KIPS Transactions on Computer and Communication Systems, 2, 10, (2013), 421-426. DOI: 10.3745/KTCCS.2013.2.10.421.