INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Auto-Scale Multi-Node Hadoop Cluster – An Experimental Setup
Authors Name:
Praseetha V. M
, Pratik Sen , S. Vadivel
Unique Id:
IJSDR1608016
Published In:
Volume 1 Issue 8, August-2016
Abstract:
With the plateauing of computational hardware, the need to get the maximum performance both reliably and at low cost has seen to the revival of cluster computing. Cluster computing makes use of a large number of low cost ordinary everyday computers. Apache Hadoop is a scalable, flexible, cost effective and fault tolerant open source software system framework which enables distributed processing across clusters. As Hadoop is statically set up all configurations are defined before deploying the actual nodes. In such a case mirror images of the hardware partitions are used and then applied to the target machines. However such a case causes a very brittle set up which can cause a catastrophic failure with the failure of the master nodes. To reinstate the nodes the entire cluster would generally need to be brought down. To combat this weakness we successfully set up a novel multi node approach with two nodes and is presented in this paper.
"Auto-Scale Multi-Node Hadoop Cluster – An Experimental Setup", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 8, page no.123 - 132, August-2016, Available :http://www.ijsdr.org/papers/IJSDR1608016.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1608016
Registration ID:160671
Published In: Volume 1 Issue 8, August-2016
DOI (Digital Object Identifier):
Page No: 123 - 132
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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