Internet Traffic Flow Analysis using Hadoop
Internet Traffic Flow Analysis using Hadoop
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Keywords

HDFS
traffic analysis
traffic identification
traffic clustering
mapreduce
and hadoop framework

How to Cite

Sudipa Biswas. (2017). Internet Traffic Flow Analysis using Hadoop. Global Journal of Computer Science and Technology, 17(B1), 1–3. Retrieved from https://gjcst.com/index.php/gjcst/article/view/630

Abstract

The internet traffic analysis elucidates the network administrator for monitoring the ongoing operation in the network and to understand the network so that the behavior could be examined and large problem can be examined Flow analysis assists in traffic management allocation of resources and fault tolerance Due to the fast increase in internet user simultaneously the network usage has also escalated rapidly The major problem of this fast growth in network is the traffic management storing of traffic data and analysis this enormous amount of data in a single machine To resolve this issue hadoop has been implemented to scan multiple input data and produce output for traffic identification and clustering flow In this paper internet traffic flow analysis has been done using hadoop In this proposed method system accepts packet data as input from network and this input is appended to hadoop distributed file system HDFS and at last processing is done through MapReduce Once the output has been generated the network administrator analyses the internet traffic and troubleshoot any problem if necessary
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