Internet Traffic Flow Analysis using Hadoop

Article ID

CSTBI55R9

Internet Traffic Flow Analysis using Hadoop

Sudipa Biswas
Sudipa Biswas
Subhradeep Biswas
Subhradeep Biswas
DOI

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.

Internet Traffic Flow Analysis using Hadoop

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.

Sudipa Biswas
Sudipa Biswas
Subhradeep Biswas
Subhradeep Biswas

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Sudipa Biswas. 2017. “. Global Journal of Computer Science and Technology – B: Cloud & Distributed GJCST-B Volume 17 (GJCST Volume 17 Issue B1): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-B Classification: C.2.5
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Internet Traffic Flow Analysis using Hadoop

Sudipa Biswas
Sudipa Biswas
Subhradeep Biswas
Subhradeep Biswas

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