Modeling Software Rejuvenation on a Redundant System Using Monte Carlo Simulation

In this paper, rejuvenation is modeled in a redundant computer system in order to counteract software aging. The evolution of such a system in time could be modeled by a Markov or a semi-Markov process. Nevertheless, due to generally distributed repair times of system components, the entire system is non -- Markovian. Thus, Monte Carlo simulation methods are used for studying system´s evolution in time. Through this approach, the main dependability and performance measures are computed in order to ascertain the efficiency of software rejuvenation.