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- W2085277474 abstract "A technique for computing optimal redundancy levels for the components of a fault-tolerant system with dependently failing redundant module versions is presented. Optimization is done under a given budget constraint and with the overall reliability as the objective. Within each component, price and estimated reliability of each redundant version is assumed to be constant. For solving the optimization problem, a branch-and-bound technique, using the solutions of continuous problem relaxations for the determination of bounds, is developed. Computational experiments with randomly generated test instances show that the suggested algorithm still performs well in situations where a computation based on dynamic programming is not feasible anymore. Using redundant program versions and thereby increasing the system reliability is a well-established way to build fault-tolerant software systems, as they are required in safety-critical computing (flight control, power plants, medical technique, defense systems). Given a certain budget for software development or purchase of software components, it makes sense to ask how this budget can be spent in order to maximize the achieved reliability. A problem occurring in this context is that different versions of a program, even if they have been developed independently from each other, do not fail independently. Our approach takes this correlation between failures into account and allows an efficient computation of optimal redundancy levels for problem instance sizes of practical interest." @default.
- W2085277474 created "2016-06-24" @default.
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- W2085277474 date "2002-11-01" @default.
- W2085277474 modified "2023-09-26" @default.
- W2085277474 title "A branch-and-bound approach to the optimization of redundant software under failure correlation" @default.
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- W2085277474 doi "https://doi.org/10.1016/s0305-0548(01)00055-7" @default.
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