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Evaluation of Erasure Coding and other features of Hadoop 3

Nazerke Seidan


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{
  "description": "<p>Erasure coding, a new feature in HDFS, can reduce storage overhead by approximately 50%&nbsp;<br>\ncompared to replication while maintaining the same durability guarantees. This would allow to&nbsp;<br>\nsave a lot of disk capacity in needed by project hosted in CERN IT Hadoop service. The goal of&nbsp;<br>\nthe project is to evaluate the new features of Hadoop 3 and make an assessment of its readiness&nbsp;<br>\nfor production systems (this includes installation and configuration of a test hadoop3 cluster,&nbsp;<br>\ncopying production data to it, conducting multiple performance test on the data). &nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Nazerke Seidan"
    }
  ], 
  "headline": "Evaluation of Erasure Coding and other  features of Hadoop 3", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2019-11-22", 
  "url": "https://zenodo.org/record/3550780", 
  "keywords": [
    "CERN openlab", 
    "summer student programme"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3550780", 
  "@id": "https://doi.org/10.5281/zenodo.3550780", 
  "@type": "ScholarlyArticle", 
  "name": "Evaluation of Erasure Coding and other  features of Hadoop 3"
}
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