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A Map Reduce Implementation on Open Source Platform: EUCALYPTUS

Published on September 2012 by Nilesh Mangtani, Jyoti B. Rathi
journal_cover_thumbnail

National Conference "MEDHA 2012"
Foundation of Computer Science USA
MEDHA - Number 1
September 2012
Authors: Nilesh Mangtani, Jyoti B. Rathi
0bc00035-b3bf-46dc-a063-88c275e2ec27

Nilesh Mangtani, Jyoti B. Rathi . A Map Reduce Implementation on Open Source Platform: EUCALYPTUS. National Conference "MEDHA 2012". MEDHA, 1 (September 2012), 30-34.

@article{
author = { Nilesh Mangtani, Jyoti B. Rathi },
title = { A Map Reduce Implementation on Open Source Platform: EUCALYPTUS },
journal = { National Conference "MEDHA 2012" },
issue_date = { September 2012 },
volume = { MEDHA },
number = { 1 },
month = { September },
year = { 2012 },
issn = 0975-8887,
pages = { 30-34 },
numpages = 5,
url = { /proceedings/medha/number1/8675-1016/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference "MEDHA 2012"
%A Nilesh Mangtani
%A Jyoti B. Rathi
%T A Map Reduce Implementation on Open Source Platform: EUCALYPTUS
%J National Conference "MEDHA 2012"
%@ 0975-8887
%V MEDHA
%N 1
%P 30-34
%D 2012
%I International Journal of Computer Applications
Abstract

Cloud computing is one of the important emerging technologies now-a-days. In recent years many of the applications are developed by using the Cloud computing. It mainly works by using the clusters of all the available resources in an organization or a company. Also recently Hadoop framework has also emerged which work in the distributed environments only. Hadoop being a open-source is used by many companies recently. In this paper, we have tried to propose a solution of merging the Hadoop technology with the cloud by using a open-source platform EUCALYPTUS. Since both of the above platforms are open source many of the companies can earn more profit by integrating with them. In this case the MapReduce an important part of Hadoop is being discussed and is tried to merge out with the Cloud by using EUCALYPTUS. MapReduce is a programming model that is developed by Google but widely used by Hadoop. Thus in this paper we have discussed few of scenarios where Hadoop can fails and also proposed the solution of those by using the Cloud technology.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Hadoop Mapreduce Cloud Computing Eucalyptus