This research presents the methodology for modeling the stability of digital data against destabilizing factors at long-term storage. Under the stability of digital data we shall mean the ability to recover within a minimal period of time applicable to both the data itself and the applications responsible for the interpretation of this data and to soft and hardware enabling the use of this data. The problem of digital data stability at long-term storage is formulated in the research. The author provides a review of challenges related to ensuring data stability against destabilizing factors and demonstrates the correlation between identified challenges. The author concludes that there is a need of a complex approach towards identified challenges through the development of methodology for modeling the stability of digital data. The key research result is the suggested methodology for modeling the stability of digital data. The main provisions, limitations and assumptions of methodology are presented in the article. The research concludes that it is necessary to model data stability in the context of rapid digitalization. The article also covers possible application areas for the suggested methodology and outlines spheres for further researches on the development of methodology and programmatic tools for modeling of digital data stability.
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22 June 2022
PROCEEDINGS OF THE II INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS, SYSTEMS AND TECHNOLOGIES: (CAMSTech-II 2021)
29–31 July 2021
Krasnoyarsk, Russian Federation
Research Article|
June 22 2022
Stability of digital data at long-term storage
Alexander V. Solovyev
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
, 44/2 Vavilova str., Moscow, 119333, Russia
Corresponding author: [email protected]
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Corresponding author: [email protected]
AIP Conf. Proc. 2467, 050002 (2022)
Citation
Alexander V. Solovyev; Stability of digital data at long-term storage. AIP Conf. Proc. 22 June 2022; 2467 (1): 050002. https://doi.org/10.1063/5.0092537
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