Informatics and Applications
2020, Volume 14, Issue 2, pp 33-39
METHODS OF FINDING THE CAUSES OF INFORMATION TECHNOLOGY FAILURES BY MEANS OF METADATA
- N. A. Grusho
- A. A. Grusho
- M. I. Zabezhailo
- E. E. Timonina
Abstract
The work is devoted to remote detection and localization of failures in information systems. Information resources for these tasks have been identified and models for the use of these information resources have been investigated. This article describes metadata by firected acyclic graphs (DAG) which are used for business processes and information technology descriptions. The task in question is as follows. In case of a failure or an error, it is necessary to find quickly the block containing the cause of failure, which is not so expensive that it could not be replaced, and it would be replaced. If a unit contains very expensive components, such as a server, replacing it may not be cost-effective for an organization. In terms of software applications, they can be easily reinstalled and the cost of such a replacement is low. Therefore, the cause should be sought in the top-down direction along the levels of hierarchical decomposition of DAG of information technology. A study has been carried out on analysis and detection of failed data in information technology, provided that all blocks of an information system operate correctly.
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[+] About this article
Title
METHODS OF FINDING THE CAUSES OF INFORMATION TECHNOLOGY FAILURES BY MEANS OF METADATA
Journal
Informatics and Applications
2020, Volume 14, Issue 2, pp 33-39
Cover Date
2020-06-30
DOI
10.14357/19922264200205
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
models of information technologies; metadata; directed acyclic graphs; causes of information technology failures and errors
Authors
N. A. Grusho  , A. A. Grusho , M. I. Zabezhailo  , and E. E. Timonina
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Dorodnicyn Computing Center, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 40 Vavilov Str., Moscow 119333, Russian Federation
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