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In this paper, the authors report on their experience with the application of validated models to assess performance, reliability, and adaptability of a complex mission critical system that is being developed to dynamically monitor and control the position of an oil-drilling platform. They present real-time modeling results that show that all tasks are schedulable. They performed stochastic analysis of the distribution of tasks execution time as a function of the number of system interfaces. They report on the variability of task execution times for the expected system configurations.
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