Analysing the effect of information redundancy on the dependability indicators of distributed information systems
https://doi.org/10.21683/1729-2646-2022-22-1-4-12
Abstract
Aim. The paper analyses the effect of information redundancy on the functional dependability indicators of distributed automated information systems. Information redundancy in the form of hot standby and HDD archives located in the system nodes is examined. Methods. The concepts of the probability theory and Markov processes are employed. Results. Indicators of operational dependability of distributed information systems and the effect of operational and recovery redundancy of data sets on these indicators are analysed. The paper analyses the efficiency of three backup strategies in distributed systems. Conclusions. Using information redundancy significantly improves the dependability and operational efficiency of distributed systems. At the same time, this type of redundancy requires a certain increase in operating costs.
About the Authors
V. V. Kulba
Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
Russian Federation
Russian Federation
Vladimir V. Kulba, Honoured Science Worker of the Russian Federation, Doctor of Engineering, Professor, Head Researcher
65 Profsoyuznaya St., Moscow, 117997
S. K. Somov
Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
Russian Federation
Russian Federation
Sergey K. Somov, Candidate of Engineering, Senior Researcher
65 Profsoyuznaya St., Moscow, 117997
A. B. Shelkov
Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
Russian Federation
Russian Federation
Alexey B. Shelkov, Candidate of Engineering, Lead Researcher
65 Profsoyuznaya St., Moscow, 117997
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Review
For citations:
Kulba V.V., Somov S.K., Shelkov A.B. Analysing the effect of information redundancy on the dependability indicators of distributed information systems. Dependability. 2022;22(1):4-12. https://doi.org/10.21683/1729-2646-2022-22-1-4-12
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ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)
ISSN 2500-3909 (Online)
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