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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/52159
Title: Development of intelligent tools for detecting resource-intensive database queries
Authors: Salah, M. M.
Alghazali
Polshchykov, K.
Ahmad, M.
Hailan
Svoykina, L.
Keywords: technique
computer engineering
resource-intensive queries
databases
detecting
self-organizing Kohonen maps
statistical parameters
Issue Date: 2021
Citation: Development of intelligent tools for detecting resource-intensive database queries / Salah M.M. Alghazali [et al.] // International Journal of Advanced Computer Science and Applications. - 2021. - Vol.12, №7.-P. 32-36.
Abstract: The detection of resource-intensive queries which consume an excessive amount of time, processor, disk, and memory resources is one of the most popular vulnerabilities of Database Management Systems (DBMS). The tools for monitoring and optimizing queries typically used in modern DBMS were analyzed, and their shortcomings were identified
URI: http://dspace.bsu.edu.ru/handle/123456789/52159
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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