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<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">55094</article-id>
<title-group>
<article-title>Study of Effective Scheduling Algorithm for Application of Big Data</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Paul</surname><given-names>Tanmay</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">INDIA, Adamas Institute of Technology</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2017-04-26">
<day>26</day>
<month>04</month>
<year>2017</year>
</pub-date>
<volume>17</volume>
<issue>C1</issue>
<fpage>37</fpage>
<lpage>40</lpage>
<abstract><p>In this new era with the advancement in the technological world the data storage, analysis becomes a major problem. Although the availability of different data storage component like electronic storage such as hard drive or virtual storage such as cloud still the problems remains. The major issue is processing the data because usually the data is in several format and size. Usually processing such huge amount of data with several formats can be time consuming. Using of application such as Hadoop can be beneficial but using of scheduling algorithm can be the best way to for data set analysis to make the process time efficient and analysis the requirement of different scheduling algorithm for the specific data set. In this paper we analysis different data set to explain the most effective scheduling algorithm for that specific data set and then store and execute data set after processing.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>big data</kwd>
<kwd>hadoop</kwd>
<kwd>scheduling algorithm</kwd>
<kwd>data analysis</kwd>
<kwd>HDFS</kwd>
<kwd>FCFS.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume17/6-Study-of-Effective-Scheduling.pdf" />
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<title>Full Text</title>
<p>In this new era with the advancement in the technological world the data storage, analysis becomes a major problem. Although the availability of different data storage component like electronic storage such as hard drive or virtual storage such as cloud still the problems remains. The major issue is processing the data because usually the data is in several format and size. Usually processing such huge amount of data with several formats can be time consuming. Using of application such as Hadoop can be beneficial but using of scheduling algorithm can be the best way to for data set analysis to make the process time efficient and analysis the requirement of different scheduling algorithm for the specific data set. In this paper we analysis different data set to explain the most effective scheduling algorithm for that specific data set and then store and execute data set after processing.</p>
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