Methods and Tools for Structural Block Reliability Analysis with Reservation and Periodic Information Recovery at Various Stages of Computing System Design
Abstract
Introduction: When designing fault-tolerant computing systems which must work under radiation, you have to estimate the influence of information distortion caused by charged particles. Software tools developed to analyze the reliability of such systems should take into account these particle-caused failures and simulate the features of periodic recovery of the distorted information which are used to increase the reliability. Purpose: The goal of this study is to determine the bounds within which you can apply the reliability analysis methods based on using analytical and imitational models in order to evaluate the reliability of systems with periodic recovery. Another goal is to compare the results of analyzing the reliability characteristics obtained by the analytical and imitational models. Results: The analytical and imitating models helped to calculate and analyze the time for which a recoverable system works until a failure happens. It has been found out that determined recovery processes restrict the applicability of the traditional reliability estimation approaches such as Markov models or logical-probabilistic methods. The necessity to take into account the software influence when designing systems with periodic recovery has been substantiated. Practical relevance: The conducted research helped to specify the application areas for certain reliability models at various stages of designing fault-tolerant recoverable computing systems.Published
2016-04-21
How to Cite
Egorov, I., & Melekhin, V. (2016). Methods and Tools for Structural Block Reliability Analysis with Reservation and Periodic Information Recovery at Various Stages of Computing System Design. Information and Control Systems, (2), 26-34. https://doi.org/10.15217/issn1684-8853.2016.2.26
Issue
Section
Information and control systems