International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,February 2017,

Topic : A New Approach for Secure Traffic Data Analytics using Hadoop

Authors:Phani Raja.I ||

Abstract:Nowadays traffic congestion is an extreme difficulty. Traffic congestion is most predominant in metro towns. There are distinct reasons for traffic congestion such as growing population, rising earning main to greater automobiles on the road, the inadequate capability of roads to address traffic and so on. A cluster of garage devices is wanted to save such big amounts of data and also a parallel computing version for studying the ones huge inputs of data. Hadoop is one such framework that gives the reliable cluster of storage facility, which stores huge statistics in an allotted way using a unique report machine, known as Hadoop Distributed File System and presents efficient parallel processing feature through MapReduce framework. Using Map Reduce the filtered traffic data may be fetched without problems, to offer quit user with traffic analysis and giving beneficial predictions..

Keywords: HDFS: Hadoop Distributed File System, Map Reduce

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DOI: 01.1617/vol4/iss2/pid94721


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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