TAMC: Traffic Analysis Measurement and Classification Using Hadoop MapReduce
Main Article Content
Abstract
Due to growth in Internet users and bandwidth-hungry applications; the amount of Internet traffic data generated is so huge. It requires scalable tools to analyze, measure, and classify this traffic data. Traditional tools fail to do this task due to their limited computational capacity and storage capacity. Hadoop is a distributed framework which performs this task in very efficient manner. Hadoop mainly runs on commodity hardware with distributed storage and process this huge amount of traffic data with a Map-Reduce programming model. We have implemented Hadoop-based TAMC tool which perform Traffic Analysis, Measurement, and Classification with respect to various parameters at packet and flow level. The results can be used by Network Administrator and ISP’s for various usages.
DOI: 10.17762/ijritcc2321-8169.150135
DOI: 10.17762/ijritcc2321-8169.150135
Article Details
How to Cite
, M. Y. V. K. P. M. V. L. (2015). TAMC: Traffic Analysis Measurement and Classification Using Hadoop MapReduce. International Journal on Recent and Innovation Trends in Computing and Communication, 3(1), 165–168. https://doi.org/10.17762/ijritcc.v3i1.3783
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