5. Conclusion

Thus, in this section, we have considered stochastic and deterministic models of SW periodic monitoring and backup, which allow for time and computational/data resource constraints. Representing monitoring and backup points as a restricted Bernoulli's flow helps obtain random time intervals with the preset number thereof and, accordingly, allow for the effect of stochastic external factors on the system operation process.

Comparative analysis of stochastic and deterministic models showed the former's effectiveness with a small number of control and backup points. Therefore, when managing IS stability by numerical methods, it is possible to identify preferred models (stochastic, deterministic, or combined) which enhance IS functional stability. This gives an effect akin to introducing structure redundancy, that is, a special type of redundancy (stochastic), the use of which is unlikely to result in higher costs. The application of stochastic models in engineering systems can be facilitated by using a random-impulse generator that forms randomrestricted Bernoulli's flows [11].

A similar approach was taken as a basis to solve the problem of efficiency assessment of the diagnostic mechanism for data array failures. Apart from the IS resource control and backup domain, the above-stated results can be of use in assessing the cost-effectiveness of control measures and mechanisms being implemented in various engineering and management systems. For better use of stochastic models, it is possible to use a random pulse generator (e.g., [14]).
