可靠系统的容错与可靠性

Himani Maheshwari, Asst. Professor
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引用次数: 0

摘要

在此分析中,我们将研究影响操作系统容错和可靠性的因素。视觉效果制作和后期制作过程在很大程度上依赖于技术和自动化,使可靠的系统对该行业的运作至关重要。为了提高系统性能和可靠性,本研究检查了现有的关于可靠系统的容错和可靠性的文献,并确定了许多策略、技术和方法。为了保证复杂系统的可靠性,研究认为容错控制系统、基于冗余的方法、自适应控制方法、一致性算法和故障检测算法是必不可少的。基于模型的方法、故障树分析和马尔可夫模型在本文中都被强调为系统可靠性检验的关键。本研究的发现对视觉效果和相关学科领域具有相当大的影响,因为它们为提高此类系统的可靠性和性能提供了有价值的见解和建议。该研究最后提出了一些进一步研究的建议,包括创建新的容错算法,检查各种环境下的系统可靠性,以及将机器学习和人工智能纳入此类系统。
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Fault-Tolerance and Reliability for Dependable Systems
: 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.
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来源期刊
Turkish Online Journal of Qualitative Inquiry
Turkish Online Journal of Qualitative Inquiry Social Sciences-Social Sciences (miscellaneous)
自引率
0.00%
发文量
4
审稿时长
12 weeks
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