We propose an algorithm to compute bounds for the steady-state unavailability using continuous-time Markov chains, which is based on the failure distance concept. The algorithm generates incrementally a subset of the state space until the tightness of the bounds is the specified one. In contrast with a previous algorithm also based on the failure distance concept, the proposed algorithm uses lower bounds for failure distances which are computed on the fault tree of the system, and does not require the knowledge of the minimal cuts. This is advantageous when the number of minimal cuts is large or their computation is time-consuming
We propose an algorithm to obtain bounds for the steady-state availability using Markov models in wh...
Point availability and expected interval availability are dependability measures respectively define...
Point availability and expected interval availability are dependability measures respectively define...
We propose an algorithm to compute bounds for the steady-state unavailability using continuous-time ...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-tole...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syste...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syste...
A realistic modeling of fault-tolerant systems requires to take into account phenomena such as the d...
Recently, a method to bound the steady-state availability using the failure distance concept has bee...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syste...
Recently, a method to bound the steady-state availability using the failure distance concept has bee...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syst...
We propose an algorithm to obtain bounds for the steady-state availability using Markov models in wh...
Point availability and expected interval availability are dependability measures respectively define...
Point availability and expected interval availability are dependability measures respectively define...
We propose an algorithm to compute bounds for the steady-state unavailability using continuous-time ...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-tole...
Continuous-time Markov chains are commonly used for dependability modeling of repairable fault-toler...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syste...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syste...
A realistic modeling of fault-tolerant systems requires to take into account phenomena such as the d...
Recently, a method to bound the steady-state availability using the failure distance concept has bee...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syste...
Recently, a method to bound the steady-state availability using the failure distance concept has bee...
CTMC (continuous-time Markov chains) are a commonly used formalism for modeling fault-tolerant syst...
We propose an algorithm to obtain bounds for the steady-state availability using Markov models in wh...
Point availability and expected interval availability are dependability measures respectively define...
Point availability and expected interval availability are dependability measures respectively define...