Software Architecture of DB Clusters State Monitoring System Based on Agent-Oriented Approach

Authors

  • Shumdeev Artem Vladimirovich Ufa University of Science and Technology
  • Sablin Dmitry Pavlovich LLC “UNITS”
  • Gluschenko Valery Andreevich Ufa University of Science and Technology
  • Kovtunenko Alexey Sergeevich Ufa University of Science and Technology

Keywords:

monitoring, distributed databases, artificial intelligence, machine learning, expert systems, artificial immune systems, large language models

Abstract

The article discusses a system for monitoring the states of distributed database nodes. The system architecture is presented, the main modules are described, including the expert assessment processing module, the immune algorithms module, and the unknown behavior detector module. Methods for collecting and analyzing metrics, identifying anomalies, and generating recommendations for promptly eliminating the consequences of failures are developed. The system is aimed at increasing the efficiency of monitoring and administering databases, as well as reducing the risks associated with their operation.

Author Biographies

Shumdeev Artem Vladimirovich, Ufa University of Science and Technology

студент

Sablin Dmitry Pavlovich, LLC “UNITS”

machine learning engineer, LLC “UNITS”

Gluschenko Valery Andreevich, Ufa University of Science and Technology

graduate student

Kovtunenko Alexey Sergeevich, Ufa University of Science and Technology

Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Computer Science

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Published

2025-08-12

Issue

Vol. 29 No. 3(109) (2025)

Section

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