Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data

When database is stored in one computer or server, certain issues related to disaster (in terms of natural or un-natural) problem may arise with reference to geographical connection and geographical distribution of servers. Here, replication feature plays an important role. There were many techniq...

Full description

Saved in:
Bibliographic Details
Main Authors: Dildar Hussain, Mohammad Omar, Khairol Amali Ahmad, Ja’afar Adnan, Khaleel Ahmad
Format: Article
Language:en
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/19090/1/10.pdf
http://journalarticle.ukm.my/19090/
https://www.ukm.my/jkukm/si-42-2021/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1834433604062543872
author Dildar Hussain,
Mohammad Omar,
Khairol Amali Ahmad,
Ja’afar Adnan,
Khaleel Ahmad,
author_facet Dildar Hussain,
Mohammad Omar,
Khairol Amali Ahmad,
Ja’afar Adnan,
Khaleel Ahmad,
author_sort Dildar Hussain,
building Tun Sri Lanang Library
collection Institutional Repository
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
continent Asia
country Malaysia
description When database is stored in one computer or server, certain issues related to disaster (in terms of natural or un-natural) problem may arise with reference to geographical connection and geographical distribution of servers. Here, replication feature plays an important role. There were many techniques and methodologies for geographically distributed servers, but the problem was of one master. When an authorized user updates his database on a client database server then this client database server updates his master database server and at last, the master database server updates all its client’s database servers. The described process is called database replication. In this process, there are several main parameters that are important, i.e., bandwidth, memory, and processor time. In this paper, the analysis is focused on comparing which database (NoSQL family-RethinkDB and MySQL) utilize how much memory, processor, and time during replication of database from client to master.
format Article
id my-ukm.journal.19090
institution Universiti Kebangsaan Malaysia
language en
publishDate 2021
publisher Penerbit Universiti Kebangsaan Malaysia
record_format eprints
spelling my-ukm.journal.190902022-07-26T04:32:30Z http://journalarticle.ukm.my/19090/ Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data Dildar Hussain, Mohammad Omar, Khairol Amali Ahmad, Ja’afar Adnan, Khaleel Ahmad, When database is stored in one computer or server, certain issues related to disaster (in terms of natural or un-natural) problem may arise with reference to geographical connection and geographical distribution of servers. Here, replication feature plays an important role. There were many techniques and methodologies for geographically distributed servers, but the problem was of one master. When an authorized user updates his database on a client database server then this client database server updates his master database server and at last, the master database server updates all its client’s database servers. The described process is called database replication. In this process, there are several main parameters that are important, i.e., bandwidth, memory, and processor time. In this paper, the analysis is focused on comparing which database (NoSQL family-RethinkDB and MySQL) utilize how much memory, processor, and time during replication of database from client to master. Penerbit Universiti Kebangsaan Malaysia 2021 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/19090/1/10.pdf Dildar Hussain, and Mohammad Omar, and Khairol Amali Ahmad, and Ja’afar Adnan, and Khaleel Ahmad, (2021) Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data. Jurnal Kejuruteraan, 4 (2(SI)). pp. 65-69. ISSN 0128-0198 https://www.ukm.my/jkukm/si-42-2021/
spellingShingle Dildar Hussain,
Mohammad Omar,
Khairol Amali Ahmad,
Ja’afar Adnan,
Khaleel Ahmad,
Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data
title Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data
title_full Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data
title_fullStr Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data
title_full_unstemmed Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data
title_short Performance comparison between NoSQL (RethinkDB) and MySQL database replication from master to slave in big data
title_sort performance comparison between nosql (rethinkdb) and mysql database replication from master to slave in big data
url http://journalarticle.ukm.my/19090/1/10.pdf
http://journalarticle.ukm.my/19090/
https://www.ukm.my/jkukm/si-42-2021/
url_provider http://journalarticle.ukm.my/