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Network Traffic Analysis with Cloud Platform

Richard Chun-Hung Lin,
Hung-Jen Liao,
Kuang-Yuan Tung,
Ying-Chih Lin,
Shih-Lin Wu,

Abstract


High-speed network poses challenges on heavy traffic measurement and analysis, which becomes more serious due to the scale of modern data centers. Cloud platform is an alternative to crack the nut because it gives concurrent considerations to both high-performance computing and high-extensible data storage. Therefore, we use Hadoop to construct a trial cloud platform to tackle the challenges derived from the heavy traffic, and perform network traffic analysis and target packet dissection. Our testbed evaluates the performance against different processing strategies, and shows the statistic results. According to the experimental results, the Hadoop-based platform can fit to process massive traffic data very well, and it's appropriate to manage today's data centers with cloud computing services.

Keywords


Network traffic; Cloud computing; Hadoop; MapReduce

Citation Format:
Richard Chun-Hung Lin, Hung-Jen Liao, Kuang-Yuan Tung, Ying-Chih Lin, Shih-Lin Wu, "Network Traffic Analysis with Cloud Platform," Journal of Internet Technology, vol. 13, no. 6 , pp. 953-961, Nov. 2012.

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Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
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