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Evaluation of Erasure Coding and other features of Hadoop 3

Nazerke Seidan


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  <identifier identifierType="DOI">10.5281/zenodo.3550780</identifier>
  <creators>
    <creator>
      <creatorName>Nazerke Seidan</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Evaluation of Erasure Coding and other  features of Hadoop 3</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>CERN openlab</subject>
    <subject>summer student programme</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-11-22</date>
  </dates>
  <resourceType resourceTypeGeneral="Report"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3550780</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3550779</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/cernopenlab</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Erasure coding, a new feature in HDFS, can reduce storage overhead by approximately 50%&amp;nbsp;&lt;br&gt;
compared to replication while maintaining the same durability guarantees. This would allow to&amp;nbsp;&lt;br&gt;
save a lot of disk capacity in needed by project hosted in CERN IT Hadoop service. The goal of&amp;nbsp;&lt;br&gt;
the project is to evaluate the new features of Hadoop 3 and make an assessment of its readiness&amp;nbsp;&lt;br&gt;
for production systems (this includes installation and configuration of a test hadoop3 cluster,&amp;nbsp;&lt;br&gt;
copying production data to it, conducting multiple performance test on the data). &amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
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