Systems and Means of Informatics
2024, Volume 34, Issue 3, pp 14-22
TO THE PROBLEM OF IDENTIFYING FAILURES IN THE INFORMATION TECHNOLOGY INFRASTRUCTURE BY MONITORING AND ANALYZING INDIRECT DATA
- D. V. Smirnov
- A. A. Grusho
- M. I. Zabezhailo
Abstract
Research aspects of the problem of identifying failures in complex information technology (IT) systems are discussed. A failure is understood as an abnormal mode of operation of the IT infrastructure, in which the specified functionality of the business processes supported by it is not provided but the existing means of monitoring the functioning of the IT infrastructure do not raise alarms. In such situations, the conclusion about the failure can be formed only by indirect data, in particular, by the reaction of users contacting the support service, etc. The tasks of building identification systems for such abnormal situations, the so-called downdetectors, are considered in the context of some research problems of modern artificial intelligence: intellectual analysis of natural language texts, identification of cause-and-effect relationships in the analyzed data, training on precedents in open subject areas, etc. The paper proposes directions of scientific research and formulation of tasks, the solution of which is necessary to significantly increase the efficiency of detecting failures using downdetector methods.
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[+] About this article
Title
TO THE PROBLEM OF IDENTIFYING FAILURES IN THE INFORMATION TECHNOLOGY INFRASTRUCTURE BY MONITORING AND ANALYZING INDIRECT DATA
Journal
Systems and Means of Informatics
Volume 34, Issue 3, pp 14-22
Cover Date
2024-10-30
DOI
10.14357/08696527240302
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
information infrastructure; indirect data monitoring; downdetectors; cause-and-effect; artificial intelligence
Authors
D. V. Smirnov , A. A. Grusho , and M. I. Zabezhailo
Author Affiliations
Sberbank of Russia, 19 Vavilov Str., Moscow 117999, Russian Federation
Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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