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Resilience based importance measure analysis for SoS

机译:基于弹性的SoS重要度分析

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In a system of systems (SoS), resilience is an important factor in maintaining the functionality, stability, and enhancing the operation effectiveness. From the perspective of resilience, this paper studies the importance of the SoS, and a resilience-based importance measure analysis is conducted to provide suggestions in the design and optimization of the structure of the SoS. In this paper, the components of the SoS are simplified as four kinds of network nodes: sensor, decision point, influencer, and target. In this networked SoS, the number of operation loops is used as the performance indicator, and an approximate algorithm, which is based on eigenvalue of the adjacency matrix, is proposed to calculate the number of operation loops. In order to understand the performance change of the SoS during the attack and defense process in the operations, an integral resilience model is proposed to depict the resilience of the SoS. From different perspectives of enhancing the resilience, different measures, parameters and the corresponding algorithms for the resilience importance of components are proposed. Finally, a case study on an SoS is conducted to verify the validity of the network modelling and the resilience-based importance analysis method.
机译:在系统系统(SoS)中,弹性是保持功能性,稳定性和增强操作效率的重要因素。从复原力的角度,研究了SoS的重要性,并进行了基于复原力的重要性度量分析,为SoS的结构设计和优化提供了建议。本文将SoS的组件简化为四种网络节点:传感器,决策点,影响者和目标。在这种网络化的SoS中,将操作循环数用作性能指标,并提出了一种基于邻接矩阵特征值的近似算法来计算操作循环数。为了了解作战过程中攻击和防御过程中SoS的性能变化,提出了一种整体弹性模型来描述SoS的弹性。从增强弹性的不同角度出发,针对组件的弹性重要性提出了不同的措施,参数和相应的算法。最后,以SoS为例,验证了网络建模和基于弹性的重要性分析方法的有效性。

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