UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1904D15


Registration ID:
205921

Page Number

105-111

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Title

MAPREDUCE FOR HADOOP

Abstract

The new ages of cell phones have high preparing force and capacity, yet they linger behind as far as programming frameworks for huge information stockpiling and handling. Hadoop is a versatile stage that gives circulated capacity and computational abilities on bunches of product equipment. Building Hadoop on a portable system empowers the gadgets to run information concentrated processing applications without direct learning of fundamental circulated frameworks complexities. In any case, these applications have serious vitality and unwavering quality requirements (e.g., brought about by sudden gadget disappointments or topology changes in a dynamic system). As cell phones are progressively helpless to unapproved get to, when contrasted with customary servers, security is additionally a worry for delicate information. Thus, it is principal to think about unwavering quality, vitality proficiency and security for such applications. The MDFS (Mobile Distributed File System) [1] addresses these issues for huge information handling in versatile mists. We have built up the HadoopMapReduce structure over MDFS and have contemplated its execution by differing input outstanding tasks at hand in a genuine heterogeneous portable group. Our assessment demonstrates that the execution tends to all limitations in handling a lot of information in versatile mists. In this manner, our framework is a practical answer for fulfill the developing needs of information handling in a versatile domain.

Key Words

MAPREDUCE FOR HADOOP

Cite This Article

"MAPREDUCE FOR HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.105-111, April-2019, Available :http://www.jetir.org/papers/JETIR1904D15.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"MAPREDUCE FOR HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp105-111, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D15.pdf

Publication Details

Published Paper ID: JETIR1904D15
Registration ID: 205921
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 105-111
Country: -, -, --- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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