Reliability modeling of the MARS system: A case study in the use of different tools and techniques
Analytical reliability modeling is a promising method for predicting the reliability of different architectural variants and to perform trade-off studies at design time. However, generating a computationally tractable analytic model implies in general an abstraction and idealization of the real system. Construction of such a tractable model is not an exact science, and as such, it depends on the modeler's intuition and experience. This freedom can be used in formulating the same problem by more than one approach. Such a N-version modeling approach increases the confidence in the results. In this paper, we analyze the MARS architecture with the dependability evaluation tools SHARPE and SPNP, employing several different techniques including: hierarchical modeling, stochastic Petri nets, folding of stochastic Petri nets, and state truncation. The authors critically examine these techniques for their practicability in modeling complex fault-tolerant computer architectures.
