Resilience Quantification for Probabilistic Design of Cyber-Physical System Networks
Resilience Quantification for Probabilistic Design of Cyber-Physical System Networks
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DOI：
10.1115/1.4039148
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发表时间：
2018-09
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影响因子：
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通讯作者：
Yan Wang
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文献类型：
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作者：
Yan Wang
网络物理系统（CPS）是指物理系统，其各个组成部分在物理空间和网络空间中都具有功能特性。鉴于动态演进网络中CPS组件的多样性，设计具有灵活性和适应性的开放和弹性架构非常重要。为了使系统设计的弹性工程方法，弹性的定量措施已被研究人员提出。然而，域相关的系统性能指标需要量化弹性。在本文中，通用的系统性能指标CPS提出，这是熵，条件熵，互信息与成功的预测和通信的概率。本文还提出了一种新的CPS网络结构概率设计框架，用于弹性工程，其中多个信息融合规则可以应用于节点处的数据处理。度量的概率测量的灵敏度进行了研究。通信网络的细粒度离散事件仿真模型被用来证明所提出的度量的适用性。[DOI 10.1115/1.4039148]
Cyber-physical systems (CPS) are the physical systems of which individual components have functional identities in both physical and cyber spaces. Given the vastly diversified CPS components in dynamically evolving networks, designing an open and resilient architecture with flexibility and adaptability thus is important. To enable a resilience engineering approach for systems design, quantitative measures of resilience have been proposed by researchers. Yet, domain-dependent system performance metrics are required to quantify resilience. In this paper, generic system performance metrics for CPS are proposed, which are entropy, conditional entropy, and mutual information associated with the probabilities of successful prediction and communication. A new probabilistic design framework for CPS network architecture is also proposed for resilience engineering, where several information fusion rules can be applied for data processing at the nodes. Sensitivities of metrics with respect to the probabilistic measurements are studied. Fine-grained discrete-event simulation models of communication networks are used to demonstrate the applicability of the proposed metrics. [DOI: 10.1115/1.4039148]