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OverviewThe server information processing system spends an unacceptably large amount of computational resources, as well as time and storage resources, to execute resource-intensive database queries. Detection and correction of resource-intensive queries can improve the speed of software client-oriented applications by reducing the overall load on database servers, reducing competition for shared resources, and reducing the execution time of other queries. Currently used methods of searching problematic queries, used in system utilities, do not always allow identifying resource-intensive SQL statements or skip those queries that can also be categorized as resource-intensive. The monograph is aimed at improving the process of detecting resource-intensive database queries based on the application of neural network clustering and fuzzy inference. Full Product DetailsAuthor: Konstantin Pol'shhikov , Salah AlgazaliPublisher: Our Knowledge Publishing Imprint: Our Knowledge Publishing Dimensions: Width: 15.20cm , Height: 0.90cm , Length: 22.90cm Weight: 0.200kg ISBN: 9786208651404ISBN 10: 6208651409 Pages: 144 Publication Date: 27 February 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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