Report Open Access

Evaluation of Erasure Coding and other features of Hadoop 3

Nazerke Seidan


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.3550780">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.3550780</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.3550780"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Nazerke Seidan</foaf:name>
      </rdf:Description>
    </dct:creator>
    <dct:title>Evaluation of Erasure Coding and other features of Hadoop 3</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued>
    <dcat:keyword>CERN openlab</dcat:keyword>
    <dcat:keyword>summer student programme</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-11-22</dct:issued>
    <owl:sameAs rdf:resource="https://zenodo.org/record/3550780"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3550780</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.3550779"/>
    <dct:isPartOf rdf:resource="https://zenodo.org/communities/cernopenlab"/>
    <dct:description>&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;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.3550780"/>
        <dcat:byteSize>1884789</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/3550780/files/Report_Nazerke_Seidan.pdf"/>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
266
632
views
downloads
All versions This version
Views 266266
Downloads 632632
Data volume 1.2 GB1.2 GB
Unique views 252252
Unique downloads 597597

Share

Cite as