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

Monthly Journal for Science , Computer Science and Engineering

Volume4,February 2017,

Topic : A Novel Approach for Identification of Hadoop Cloud environment

Authors:Swathi Agarwal ||

Abstract:Because of the advanced propensities inside the teaching of science and innovation brought about the trends of the viable data switch, the capacity of dealing with colossal data and the recovery of information effectively. On account that the data that is spared is expanding voluminously, strategies to retrieve relative comprehension and assurance associated concerns are to be tended to viable to quiet this bulk information. Moreover, with rising benchmarks of mammoth information, these security issues are a testing undertaking. This paper addresses the constraint of agreeable information switch utilizing the principles of learning mining in cloud condition making use of Hadoop MapReduce. In light of the experimentation, achievedoutcome are examined and spoken to with perceiving to time and space unpredictability when thought about Hadoop with non Hadoop approach.

Keywords: Big Data, Hadoop, Mapreduce, CloudComputing, Temporal Patterns

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DOI: 01.1617/vol4/iss2/pid07635


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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
Contact : info@ijercse.com


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