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Evaluation of Erasure Coding and other features of Hadoop 3

Nazerke Seidan


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  <dc:creator>Nazerke Seidan</dc:creator>
  <dc:date>2019-11-22</dc:date>
  <dc:description>Erasure coding, a new feature in HDFS, can reduce storage overhead by approximately 50% 
compared to replication while maintaining the same durability guarantees. This would allow to 
save a lot of disk capacity in needed by project hosted in CERN IT Hadoop service. The goal of 
the project is to evaluate the new features of Hadoop 3 and make an assessment of its readiness 
for production systems (this includes installation and configuration of a test hadoop3 cluster, 
copying production data to it, conducting multiple performance test on the data).  </dc:description>
  <dc:identifier>https://zenodo.org/record/3550780</dc:identifier>
  <dc:identifier>10.5281/zenodo.3550780</dc:identifier>
  <dc:identifier>oai:zenodo.org:3550780</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3550779</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/cernopenlab</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>CERN openlab</dc:subject>
  <dc:subject>summer student programme</dc:subject>
  <dc:title>Evaluation of Erasure Coding and other  features of Hadoop 3</dc:title>
  <dc:type>info:eu-repo/semantics/report</dc:type>
  <dc:type>publication-report</dc:type>
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