Techniques for Modeling the Reliability of Fault-Tolerant Systems With the Markov State-Space Approach
نویسندگان
چکیده
This paper presents a step-by-step tutorial of the methods and the tools that were used for the reliability analysis of fault-tolerant systems. The approach of this paper is the Markov (or semi-Markov) state-space method. The paper is intended for design engineers with a basic understanding of computer architecture and fault tolerance, but little knowledge of reliability modeling. The representation of architectural features in mathematical models is emphasized. This paper does not present details of the mathematical solution of complex reliability models. Instead, it describes the use of several recently developed computer programs—SURE, ASSIST, STEM, and PAWS—that automate the generation and the solution of these models.
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