Abstract
Reliability design, availability and performance assessment of multi-state multiprocessor system with structural redundancy involves solving number of issues. This paper outlines a cutting-age technology of the analytical modelling of the discrete-continuous stochastic systems for automated development the Markovian chains to assess the availability and Performance of multi-state multiprocessor system, which shows the algorithm for reliability behaviour. For various configurations of the multi-state multiprocessor system, the use of the proposed model and problem-oriented software, ASNA represents the ability to automate constructed the Markovian chains after developed the structural-automated model. This model includes a number of settings: numbers of processor in the main sub-system; numbers of processor in the diverse sub-system; number of processor in hot standby; number of processor in cold standby; failure rate of the processor; mean time of sub-system repair; the structure of the system’s and reliability behaviours. The proposed structural-automated model for the automated development the Markovian chains are subject to structure adaptation of the multi-state multiprocessor system and/or the algorithms of reliability behaviour. This allows us to obtain a new model and the feasibility to automate development of the Markovian chains.
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Volochiy, B., Mulyak, O., Kharchenko, V. (2018). Automated Development of the Markovian Chains to Assess the Availability and Performance of Multi-state Multiprocessor System. In: Lisnianski, A., Frenkel, I., Karagrigoriou, A. (eds) Recent Advances in Multi-state Systems Reliability. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-63423-4_19
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DOI: https://doi.org/10.1007/978-3-319-63423-4_19
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