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Providing guarantees on the system behavior is mandatory in order to let the robots enter our every-day life. Among these guarantees, proving the fulfillment of real-time constraints on the software is a key issue, as their violation could result into unexpected and unsafe behaviors. In this paper, we present a methodology to guarantee real-time constraints on component-based software architectures...
Probabilistic real-time systems have a difficult controlling management, because of their random behaviors and quantitative operations. So, the procedure of system behavior will changed any time. Adding a probable factor can effect on some systematic problems such as fairness, deadlock and starvation in a probabilistic real-time system. In this paper, we study on a new probable decision making approach...
The analysis of probabilistic schedulability explores all possible combinations of the probabilities of task attributes, which can easily lead to exponential computation time [24]. In this paper, we present a flexible schedulability analysis framework for periodic and sporadic tasks having probabilistic attributes where the computation time scales linearly in the size of analyzed systems. The framework...
Real-time computing and communication systems are often required to operate with prespecified levels of reliability in harsh environments, which may lead to the exposure of the system to random errors and random bursts of errors. The classical fault-tolerant schedulability analysis in such cases assumes a pseudo-periodic arrival of errors, and does not effectively capture any underlying randomness...
Real-time systems usually involve a subtle interaction of a number of distributed components and have a high degree of parallelism, which makes their performance analysis quite complex. Thus, traditional techniques, such as simulation, fail to produce reasonable results. Formal methods pose an interesting solution but they usually lack the capabilities to reason about quantitative time and probabilistic...
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