Reliability models for computer systems: An overview including dataflow graphs |
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Authors: | U. Narayan Bhat Krishna M. Kavi |
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Affiliation: | (1) Department of Statistics, Southern Methodist University, 75275 Dallas, Texas, USA;(2) Department of Computer Science and Engineering, University of Texas at Arlington, 76019 Arlington, Texas, USA |
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Abstract: | The reliability of a system is the probability that the system will perform its intended mission under given conditions. This paper provides an overview of the approaches to reliability modelling and identifies their strengths and weaknesses. The models discussed include structure models, simple stochastic models and decomposable stochastic models. Ignoring time-dependence, structure models give reliability as a function of the topological structure of the system. Simple stochastic models make direct use of the properties of underlying stochastic processes, while decomposable models consider more complex systems and analyse them through subsystems. Petri nets and dataflow graphs facilitate the analysis of complex systems by providing a convenient framework for reliability analysis. |
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Keywords: | Reliability stochastic models decomposition-aggregation method stochastic Petri nets dataflow graphs |
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