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Evaluation of Erasure Coding and other features of Hadoop 3

Nazerke Seidan


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3550780", 
  "author": [
    {
      "family": "Nazerke Seidan"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2019, 
        11, 
        22
      ]
    ]
  }, 
  "abstract": "<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>", 
  "title": "Evaluation of Erasure Coding and other  features of Hadoop 3", 
  "type": "article", 
  "id": "3550780"
}
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