Weighted Moore–Penrose generalized matrix inverse: MySQL vs. Cassandra database storage system

dc.contributor.author	Milošević, Danijela
dc.contributor.author	Pepić S.
dc.contributor.author	Saracevic, Muzafer
dc.contributor.author	Tasic, Milan
dc.date.accessioned	2020-09-19T17:16:42Z
dc.date.available	2020-09-19T17:16:42Z
dc.date.issued	2016
dc.description.abstract	© 2016, Indian Academy of Sciences. The research in this paper refers to two areas: programming and data storage (data base) for computing the weighted Moore–Penrose inverse. The main aim of this paper analysis of the execution speed of computing using PHP programming language and data store. The research shows that the speed of execution gives considerable difference between the Procedural programming and Object Oriented PHP language, on the middle layer in the three tier of the web architecture. Also, the research concerning the comparison of relation database system, MySQL and NoSQL, key value store system, ApacheCassandra, on the database layer. The CPU times are compared and discussed.
dc.identifier.doi	10.1007/s12046-016-0523-6
dc.identifier.issn	0256-2499
dc.identifier.scopus	2-s2.0-84982283219
dc.identifier.uri	https://scidar.kg.ac.rs/handle/123456789/9025
dc.rights	openAccess
dc.rights.license	BY-NC-ND
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Sadhana - Academy Proceedings in Engineering Sciences
dc.title	Weighted Moore–Penrose generalized matrix inverse: MySQL vs. Cassandra database storage system
dc.type	article

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