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A generalized method for the transient analysis of Markov models of fault-tolerant systems with deferred repair
(2009-09-15)
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Randomization is an attractive alternative for the transient analysis of continuous time Markov
models. The main advantages of the method are numerical stability, well-controlled computation
error and ability to specify ...
An efficient and numerically stable method for computing interval availability distribution bounds
(2009-09-15)
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The paper develops a method, called bounding regenerative transformation, for the computation
with numerical stability and well-controlled error of bounds for the interval availability
distribution of systems modeled by ...
METFAC-2.1 User's Guide
(2012-04-04)
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Simulation of steady-state availability models of fault-tolerant systems with deferred repair
(2006-01-19)
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This paper targets the simulation of continuous-time Markov chain models of fault-tolerant systems with deferred repair. We start by stating sufficient conditions for a given importance sampling scheme to satisfy the bounded ...
Transient analysis of large Markov models with absorbing states using regenerative randomization
(2005-04-30)
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In this paper, we develop a new method, called regenerative randomization, for the transient
analysis of continuous time Markov models with absorbing states. The method has the same
good properties as standard randomization: ...
A failure-distance based method to bound the reliability of non-repairable Fault-tolerant systems without the knowledge of minimal cuts
(2000-12-11)
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CTMC (continuous-time Markov chains) are a commonly used formalism for modeling
fault-tolerant systems. One of the major drawbacks of CTMC is the well-known
state-space explosion problem. This work develops and analyzes ...