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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/iemcon...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
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Facebook MySQL Performance vs MySQL Performance

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2019Publisher:IEEEJournal:2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
Authors: Mursal Dawodi; Muhammad Hadi Hedayati; Jawid Ahmad Baktash; Abdul Latif Erfan;

doi: 10.1109/iemcon.2019.8936259

Facebook MySQL Performance vs MySQL Performance

Abstract

MySQL is an open-source, free and relational database management system that is growing rapidly over clouds. All hosting servers support the MySQL database. However, it has its pros and cons, strengths and weaknesses, but this research focuses on its performance speed, a weak point of MySQL and describes how to deal with this issue and how to speed up a MySQL table which has more than a million records. Many organizations and companies are using MySQL database to store their data online whether it is a database or website. In addition, this paper presents how Facebook retrieve its big data from MySQL database with high performance speed and its reason.

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selected citations
These citations are derived from selected sources.
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!
9
Top 10%
Top 10%
Top 10%
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