Abstract.

This article is intended to create a methodology for modeling the reliability of large geographically distributed information systems. In most projects, in which it is required to quantify the reliability of certain information systems, traditionally rely on the reliability of servers and other equipment. However, a large, geographically distributed system is a combination of software and hardware that interact with each other, as well as service personnel that influence the system. Failure of critical components and components due to technical failure or the influence of the human factor can lead to the inoperability of the entire system. Under these conditions, it is important to present the information system as a whole, and not as a set of independent hardware and software. It is best to present the system as a whole helps charting reliability. Methodologies for constructing a reliability scheme and conducting a reliability assessment using this scheme use various reliability indicators and this article is devoted.

Keywords:

digital economy, long-term preservation, big data, distributed registries, reliability

PP. 79-86.

DOI 10.14357/20718632190307

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