Fault-Tolerance and Reliability for Dependable Systems

Abstract

In this analysis, we look into the factors that contribute to fault-tolerance and dependability in operational systems. Visual effects production and post-production processes rely significantly on technology and automation, making reliable systems essential to the operation of the industry. In order to improve system performance and dependability, this research examines the existing literature on fault-tolerance and reliability for dependable systems and identifies numerous strategies, techniques, and approaches. In order to guarantee the dependability of complex systems, the study concludes that fault-tolerant control systems, redundancy-based approaches, adaptive control methods, consensus algorithms, and failure detection algorithms are essential. Model-based approaches, fault-tree analysis, and Markov models are all highlighted as crucial to the examination of system dependability in this paper. The findings of this study have considerable consequences for the domains of visual effects and related disciplines, as they provide valuable insights and recommendations for enhancing the dependability and performance of such systems. The study concludes with several recommendations for further study, including the creation of new fault-tolerant algorithms, the examination of system reliability in a variety of contexts, and the incorporation of machine learning and AI into such systems.