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Availability Allocation of Networked Systems Using Markov Model and Heuristics Algorithm
Author(s) -
Ruiying Li,
Xiaoxi Liu,
Ning Huang
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/315385
Subject(s) - maintainability , heuristics , reliability (semiconductor) , computer science , component (thermodynamics) , heuristic , markov chain , reliability engineering , mathematical optimization , network topology , markov process , distributed computing , algorithm , engineering , mathematics , computer network , artificial intelligence , power (physics) , statistics , physics , quantum mechanics , machine learning , thermodynamics , operating system
It is a common practice to allocate the system availability goal to reliability and maintainability goals of components in the early design phase. However, the networked system availability is difficult to be allocated due to its complex topology and multiple down states. To solve these problems, a practical availability allocation method is proposed. Network reliability algebraic methods are used to derive the availability expression of the networked topology on the system level, and Markov model is introduced to determine that on the component level. A heuristic algorithm is proposed to obtain the reliability and maintainability allocation values of components. The principles applied in the AGREE reliability allocation method, proposed by the Advisory Group on Reliability of Electronic Equipment, and failure rate-based maintainability allocation method persist in our allocation method. A series system is used to verify the new algorithm, and the result shows that the allocation based on the heuristic algorithm is quite accurate compared to the traditional one. Moreover, our case study of a signaling system number 7 shows that the proposed allocation method is quite efficient for networked systems

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