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- W1874259713 abstract "In a client-server type system, the server software is required to run continuously for very long periods. Due to repeated and potentially faulty usage by many clients, such software ages with time and eventually fails. (Huang et al., 1995) proposed a technique called software rejuvenation in which the software is periodically stopped and then restarted in a robust state after proper maintenance. This renewal of software prevents (or at least postpones) the crash failure. As the time lost (or the cost incurred) due to the software failure is typically more than the time lost (or the cost incurred) due to rejuvenation, the technique reduces the expected unavailability of the software. We present a quantitative analysis of software rejuvenation. The behavior of the system is represented through a Markov Regenerative Stochastic Petri Net (MRSPN) model which is solved both for steady state as well as transient conditions. We provide a closed-form analytical solution for the steady state expected down time (and the expected cost incurred) due to system unavailability. We also evaluate the optimal rejuvenation interval which minimizes the expected unavailability of the software." @default.
- W1874259713 created "2016-06-24" @default.
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- W1874259713 date "2002-11-19" @default.
- W1874259713 modified "2023-10-11" @default.
- W1874259713 title "Analysis of software rejuvenation using Markov Regenerative Stochastic Petri Net" @default.
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- W1874259713 doi "https://doi.org/10.1109/issre.1995.497656" @default.
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