Dynamic Hybrid Fault Modeling and Extended Evolutionary Game Theory for Reliability, Survivability and Fault Tolerance Analyses

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	Dynamic Hybrid Fault Modeling and Extended Evolutionary Game Theory for Reliability, Survivability and Fault Tolerance Analyses
	Ma ZS 1,2,3; Krings AW 2
刊名	IEEE TRANSACTIONS ON RELIABILITY
	2011
卷号	60 期号:1 页码:180-196
关键词	Agreement algorithms Byzantine generals problem dynamic hybrid fault models extended evolutionary game theory modeling fault tolerance
通讯作者	ma@vandals.uidaho.edu ; krings@uidaho.edu
合作状况	其它
英文摘要	We introduce a new layered modeling architecture consisting of dynamic hybrid fault modeling and extended evolutionary game theory for reliability, survivability, and fault tolerance analyses. The architecture extends traditional hybrid fault models and their relevant constraints in the Agreement algorithms with survival analysis, and evolutionary game theory. The dynamic hybrid fault modeling (i) transforms hybrid fault models into time- and covariate-dependent models; (ii) makes real-time prediction of reliability more realistic, and allows for real-time prediction of fault-tolerance; (iii) sets the foundation for integrating hybrid fault models with reliability and survivability analyses by integrating them with evolutionary game modeling; and (iv) extends evolutionary game theory by stochastically modeling the survival (or fitness) and behavior of 'game players.' To analyse survivability, we extend dynamic hybrid fault modeling with a third-layer, operational level modeling, to develop the three-layer survivability analysis approach (dynamic hybrid fault modeling constitutes the tactical and strategic levels). From the perspective of evolutionary game modeling, the two mathematical fields, i. e., survival analysis and agreement algorithms, which we applied for developing dynamic hybrid fault modeling, can also be utilized to extend the power of evolutionary game theory in modeling complex engineering, biological (ecological), and social systems. Indeed, a common property of the areas where our extensions to evolutionary game theory can be advantageous is that the risk analysis and management are a core issue. Survival analysis (including competing risks analysis, and multivariate survival analysis) offers powerful modeling tools to analyse time-, space-, and/or covariate-dependent uncertainty, vulnerability, and/or frailty which 'game players' may experience. The agreement algorithms, which are not limited to the agreement algorithms from distributed computing, when applied to extend evolutionary game modeling, can be any problem (game system) specific rules (algorithms or models) that can be utilized to dynamically check the consensus among game players. We expect that the modeling architecture and approaches discussed in the study should be implemented as a software environment to deal with the necessary sophistication. Evolutionary computing should be particularly convenient to serve as the core optimization engine, and should simplify the implementation. Accordingly, a brief discussion on the software architecture is presented.
收录类别	SCI
语种	英语
公开日期	2011-04-25
内容类型	期刊论文
源URL	[http://159.226.149.42:8088/handle/353002/6611]
专题	昆明动物研究所_计算生物与生物信息学
作者单位	1.Chinese Acad Sci, Lab Computat Biol & Bioinformat, Kunming Inst Zool, Beijing 100864, Peoples R China 2.Univ Idaho, Dept Computat Sci, Moscow, ID 83843 USA 3.Univ Idaho, Inst Bioinformat & Evolutionary STudies, Moscow, ID 83843 USA
推荐引用方式 GB/T 7714	Ma ZS,Krings AW. Dynamic Hybrid Fault Modeling and Extended Evolutionary Game Theory for Reliability, Survivability and Fault Tolerance Analyses[J]. IEEE TRANSACTIONS ON RELIABILITY,2011,60(1):180-196.
APA	Ma ZS,&Krings AW.(2011).Dynamic Hybrid Fault Modeling and Extended Evolutionary Game Theory for Reliability, Survivability and Fault Tolerance Analyses.IEEE TRANSACTIONS ON RELIABILITY,60(1),180-196.
MLA	Ma ZS,et al."Dynamic Hybrid Fault Modeling and Extended Evolutionary Game Theory for Reliability, Survivability and Fault Tolerance Analyses".IEEE TRANSACTIONS ON RELIABILITY 60.1(2011):180-196.