Detection of resource inquiries to databases on the basis of application of self-organizing maps and fuzzy output
DOI:
https://doi.org/10.52575/2687-0932-2021-48-3-578-593Keywords:
resource-intensive database queries, self-organizing map, principal component analysis, fuzzy inference, correct query detectionAbstract
Research is focused on identifying resource-intensive requests that consume an unacceptable amount of time, processor, disks and memory resources. The tools for monitoring and optimizing queries used in modern database management systems are analyzed, their shortcomings are indicated. The urgency of the development of new intelligent tools for the timely and reliable detection of resource-intensive queries to databases has been substantiated. It is concluded that the analysis of an extended set of statistical parameters is of interest to identify resource-intensive queries. The initial set of query parameters was reduced by preliminary normalization of the set of indicators using the sigmoidal function and subsequent selection of a finite number of principal components based on the Cattell criterion. The clustering of a set of queries was performed using a self-organizing Kohonen map, in order to avoid overfitting of which an algorithm for finding the recommended radius of the topological neighborhood of active neurons was developed. To differentiate clusters, a fuzzy inference algorithm is proposed. Experimental studies have shown the feasibility of the practical use of the results obtained.
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