loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Heitor Faria ; Rodrigo Hagstrom ; Marco Reis ; Breno G. S. Costa ; Edward Ribeiro ; Maristela Holanda ; Priscila Solis Barreto and Aletéia P. F. Araújo

Affiliation: University of Brasilia (UnB), Brazil

Keyword(s): Hadoop Backup, Cluster, Disaster Recovery.

Abstract: Backup is a traditional and critical business service with increasing challenges, such as the snowballing of constantly increasing data. Distributed data-intensive applications, such as Hadoop, can give a false impression that they do not need backup data replicas, but most researchers agree this is still necessary for the majority of its components. A brief survey reveals several disasters that can cause data loss in Hadoop HDFS clusters, and previous studies propose having an entire second Hadoop cluster to host a backup replica. However, this method is much more expensive than using traditional backup software and media, such a tape library, a Network Attached Storage (NAS) or even a Cloud Object Storage. To address these problems, this paper introduces a cheaper and faster Hadoop backup and restore solution. It compares the traditional redundant cluster replica technique with an alternative one that consists of using Hadoop client commands to create multiple streams of data from HDFS files to Bacula – the most popular open source backup software and that can receive information from named pipes (FIFO). The new mechanism is roughly 51% faster and consumed 75% less backup storage when compared with the previous solutions. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.103.20

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Faria, H.; Hagstrom, R.; Reis, M.; G. S. Costa, B.; Ribeiro, E.; Holanda, M.; Barreto, P. and Araújo, A. (2018). A Hadoop Open Source Backup Solution. In Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-295-0; ISSN 2184-5042, SciTePress, pages 651-657. DOI: 10.5220/0006809206510657

@conference{closer18,
author={Heitor Faria. and Rodrigo Hagstrom. and Marco Reis. and Breno {G. S. Costa}. and Edward Ribeiro. and Maristela Holanda. and Priscila Solis Barreto. and Aletéia P. F. Araújo.},
title={A Hadoop Open Source Backup Solution},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER},
year={2018},
pages={651-657},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006809206510657},
isbn={978-989-758-295-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER
TI - A Hadoop Open Source Backup Solution
SN - 978-989-758-295-0
IS - 2184-5042
AU - Faria, H.
AU - Hagstrom, R.
AU - Reis, M.
AU - G. S. Costa, B.
AU - Ribeiro, E.
AU - Holanda, M.
AU - Barreto, P.
AU - Araújo, A.
PY - 2018
SP - 651
EP - 657
DO - 10.5220/0006809206510657
PB - SciTePress