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 t’ault-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.
CITATION STYLE
Antonelli, C., & Grassi, V. (1994). Optimal design of fault-tolerant soft-real-time systems with imprecise computations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 852 LNCS, pp. 115–130). Springer Verlag. https://doi.org/10.1007/3-540-58426-9_127
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