TAMC: Traffic Analysis Measurement and Classification Using Hadoop Map Reduce

Provided by: Auricle Technologies
Topic: Data Management
Format: PDF
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.

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