A review on HDFS Architecture in Hadoop and Hadoop Components

Usha G R , Dr. Dharmanna L.

Big data, HDFS, MapReduce components, Hadoop components

As Big data is demanded, Hadoop has discovered as a popular tool. The big data management in various enterprises, Hadoop is playing an important role. Apache Hadoop is an open source distributed computing framework for storing and processing huge datasets distributed across many clusters. Apache Hadoop is having its specific components to store and analyze the variety of datasets. Principal part of this paper presents the Hadoop Distributed File System (HDFS) architecture in that how DataNodes and NameNode have communication to achieve fault-tolerance and about the MapReduce. MapReduce and Hadoop HDFS are the two components used by Hadoop to enable various types of operation on its platform.

Published Paper   E-Certificate

"A review on HDFS Architecture in Hadoop and Hadoop Components", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.332 - 338, May-2017, Available :https://ijsdr.org/papers/IJSDR1705057.pdf

Volume 2 Issue 5, May-2017

Pages : 332 - 338

Paper Reg. ID: IJSDR_170389

Published Paper Id: IJSDR1705057

Downloads: 000347034

Research Area: Engineering

Country: Belthangady, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705057

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705057

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition