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CSHFt: A Composite Fault-Tolerant Architecture and Self-Adaptable Hierarchical Fault-Tolerant Strategy for Satellite System

机译:CSHFT:用于卫星系统的复合容错架构和自适应分层容错策略

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Nowadays, building parallel system with high-performance commercial off-the-shelf (COTS) chips becomes the main way to improve satellite system performance greatly. System reliability is a tough issue which needs to be solved by more effective fault-tolerant scheme. Centralized fault-tolerant scheme has the risk of single point of failure (SPOF), while distributed fault-tolerant scheme is much complex and introduces large overhead. Both of these traditional methods have their own drawbacks. This paper proposes a composite self-adaptable hierarchical fault-tolerant (CSHFt) scheme which effectively integrates and expands the ideas of centralized and distributed fault-tolerant methods. It constructs a composite and symmetrical system architecture supporting both fault-tolerant methods simultaneously and realizes the self-adaptable hierarchical fault-tolerant strategy. CSHFt scheme executes system fault tolerance in the sequence of 'first centralized then distributed'. System switches its fault-tolerant mode actively according to its performing history. By combining and completing two traditional methods, CSHFt scheme eliminates the risk of SPOF, reduces the overall complexity and overhead of system fault tolerance and enhances system's real-time feature. System failure only occurs when all the system nodes are broken, which makes system highly reliable. Based on the prototype system, we verify the practical CSHFt scheme. Its performance is also analyzed and evaluated.
机译:如今,建设具有高性能商业现货(COTS)芯片的平行系统成为改善卫星系统性能的主要方式。系统可靠性是一种艰难的问题,需要通过更有效的容错方案来解决。集中式容错方案具有单点故障(SPOF)的风险,而分布式容错方案则很复杂并引入大开销。这两种传统方法都有自己的缺点。本文提出了一种复合自适应分层容错(CSHFT)方案,有效地集成并扩展了集中式和分布式容错方法的思想。它构建了一种复合和对称系统架构,同时支持容错方法,实现自适应的分层容错策略。 CSHFT方案以“首次集中”然后分布式'的序列执行系统容错。系统根据其执行历史积极地切换其容错模式。通过组合和完成两种传统方法,CSHTT方案消除了SPOF的风险,降低了系统容错的整体复杂性和开销,增强了系统的实时功能。只有在所有系统节点被损坏时才发生系统故障,这使得系统能够高度可靠。基于原型系统,我们验证了实用的CSHTT方案。还分析和评估其性能。

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