UGC Approved Journal no 63975(19)

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

Volume 4 Issue 4
April-2017
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1704051


Registration ID:
170237

Page Number

207-209

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Title

IMPROVEMENT OF SCEDULING IN HADOOP USING MACHINE LEARNING

Abstract

The volume of data these services work with interest in parallel processing of commodity cluster. The example of Map reduce is goggle uses the framework to process large amount of data. Other Internet service such as E-commerce website and social networking uses Map Reduce framework. Basically Map Reduce is a framework for preparing large amount of sets gives utilize adhoc solution, issues like web indexing, Data sorting, data searching. Map Reduce framework use for better scheduling so that less strangler occur in the machine. At the time when the strangler occur in the machine the performance of the machine is degrade the machine become slow. There are various technique used to improve the scheduling such as LATE,spectacular execution , smart spectacular execution. In my research I proposed new technique used in hadoop by using Machine learning. The machine learning technique is proactive techinique. In the proposed model the straggler will be find as soon as possible and improved the scheduling. In this model the straggler found with there past experience task so that tranning period of slave machine will be reduce.

Key Words

MapReduce, Straggler, Scheduling, Machine Learning

Cite This Article

"IMPROVEMENT OF SCEDULING IN HADOOP USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 4, page no.207-209, April-2017, Available :http://www.jetir.org/papers/JETIR1704051.pdf

ISSN


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

"IMPROVEMENT OF SCEDULING IN HADOOP USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 4, page no. pp207-209, April-2017, Available at : http://www.jetir.org/papers/JETIR1704051.pdf

Publication Details

Published Paper ID: JETIR1704051
Registration ID: 170237
Published In: Volume 4 | Issue 4 | Year April-2017
DOI (Digital Object Identifier):
Page No: 207-209
Country: GANDHINAGAR, GUJARAT, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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