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Performance evaluation of Hadoop Distributed File System

D.Sudheer 1 , A.Ramana Lakshmi2

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-9 , Page no. 81-86, Sep-2015

Online published on Oct 01, 2015

Copyright © D.Sudheer , A.Ramana Lakshmi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: D.Sudheer , A.Ramana Lakshmi, “Performance evaluation of Hadoop Distributed File System,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.9, pp.81-86, 2015.

MLA Style Citation: D.Sudheer , A.Ramana Lakshmi "Performance evaluation of Hadoop Distributed File System." International Journal of Computer Sciences and Engineering 3.9 (2015): 81-86.

APA Style Citation: D.Sudheer , A.Ramana Lakshmi, (2015). Performance evaluation of Hadoop Distributed File System. International Journal of Computer Sciences and Engineering, 3(9), 81-86.

BibTex Style Citation:
@article{Lakshmi_2015,
author = {D.Sudheer , A.Ramana Lakshmi},
title = {Performance evaluation of Hadoop Distributed File System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2015},
volume = {3},
Issue = {9},
month = {9},
year = {2015},
issn = {2347-2693},
pages = {81-86},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=645},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=645
TI - Performance evaluation of Hadoop Distributed File System
T2 - International Journal of Computer Sciences and Engineering
AU - D.Sudheer , A.Ramana Lakshmi
PY - 2015
DA - 2015/10/01
PB - IJCSE, Indore, INDIA
SP - 81-86
IS - 9
VL - 3
SN - 2347-2693
ER -

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Abstract

Huge amounts of data are required to build internet search engines and therefore large number of machines to process this entire data. The Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of machines. The Hadoop having two modules: 1. Hadoop distributed file system and 2. MapReduce. The Hadoop distributed file system is different from the local normal file system. The hdfs can be implemented as single node cluster and multi node cluster. The large datasets are processed more efficiently by the multi node clusters. By increasing number of nodes the data will be processed faster than the fewer nodes.

Key-Words / Index Term

BigData, HDFS, MapReduce, Namenode, Datanode, Jobtracker, Tasktracker

References

[1] Linthala Srinithya, Dr. G. Venkata Rami Reddy, “Performance Evaluation of Hadoop Distributed file System and Local File System” in IJSR ISSN: 2319-7064, Volume 3 Issue 9, September 2014.
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[4] Christos Doulkeridis, Kjetil Norvag, “A Survey of Large-Scale Analytical Query Processing in MapReduce”.
[5] Stephen Kaisler, Frank Armour, J. Alberto Espinosa, William Money, “Big Data: Issues and Challenges Moving Forward”.
[6] Hadoop The Definitive Guide,©2012, Tom White.
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[8] Apache Hadoop. http://hadoop.apache.org/ Tuesday, June 23, 2015.
[9] Hadoop multinode cluster configuration, http://hashprompt.blogspot.in/2014/06/multi-node-hadoop-cluster-on-ubuntu-1404.html, Wednesday, August 19, 2015.