Abstract
The imprecise computation technique applied to real-time systems has been proposed for a better control of the delivered service quality when full quality service cannot be achieved because of temporary overloads or reductions of computational power. We propose a methodology for the evaluation of the service quality delivered by a fault-tolerant multiprocessor soft-real-time system which employs the imprecise computation technique, subject to a periodic workload. Such a methodology allows us to define optimization strategies whose goal is to determine the optimal trade-off between the system cost and the overall quality of the delivered service.
Work partially supported by 40% and 60% MURST funds.
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© 1994 Springer-Verlag Berlin Heidelberg
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Antonelli, C., Grassi, V. (1994). Optimal design of fault-tolerant soft-real-time systems with imprecise computations. In: Echtle, K., Hammer, D., Powell, D. (eds) Dependable Computing — EDCC-1. EDCC 1994. Lecture Notes in Computer Science, vol 852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58426-9_127
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DOI: https://doi.org/10.1007/3-540-58426-9_127
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