%0 Journal Article %1 Vasant_2015 %A Kadam, Mr. Yogesh Vasant %A Lomte, Prof. Mrs. Vina %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K HDFS Internet Map-Reduce Traffic %N 1 %P 165--168 %R 10.17762/ijritcc2321-8169.150135 %T TAMC: Traffic Analysis Measurement and Classification Using Hadoop MapReduce %U http://dx.doi.org/10.17762/ijritcc2321-8169.150135 %V 3 %X 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

@article{Vasant_2015, 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}, added-at = {2015-08-03T08:29:07.000+0200}, author = {Kadam, Mr. Yogesh Vasant and Lomte, Prof. Mrs. Vina}, biburl = {https://www.bibsonomy.org/bibtex/264e6fdce9c7e0c11563d43a3c0c7f3a1/ijritcc}, doi = {10.17762/ijritcc2321-8169.150135}, interhash = {141e68f7417881d0232fc63d3a740547}, intrahash = {64e6fdce9c7e0c11563d43a3c0c7f3a1}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {HDFS Internet Map-Reduce Traffic}, month = {january}, number = 1, pages = {165--168}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-03T08:29:07.000+0200}, title = {{TAMC}: Traffic Analysis Measurement and Classification Using Hadoop {MapReduce}}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150135}, volume = 3, year = 2015 }