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ZENODO
Report . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Report . 2019
License: CC BY
Data sources: Datacite
https://zenodo.org/record/3550...
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Evaluation of Erasure Coding and other features of Hadoop 3

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 22 Nov 2019Publisher:Zenodo
Authors: Nazerke Seidan;

doi: 10.5281/zenodo.3550779 , 10.5281/zenodo.3550780

Evaluation of Erasure Coding and other features of Hadoop 3

Abstract

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).

Keywords

summer-student programme, CERN openlab

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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