Michael Bungert

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Scenario-aware dataflow is a formalism to model modern dynamic embedded applications whose behaviour is heavily dependent on input data or the operational environment. Key behavioural aspects are the execution times and energy consumption of a system's components. In this paper, we introduce <i>flexible scenario-aware dataflow</i>: a proper generalisation(More)
Acyclic phase-type distributions are probability distributions that mainly consist of combinations of exponential distributions and can be represented by continuous-time Markov chains. The computation time when analyzing these distributions strongly depends on the size of their representations. However, because their representations aren't unique, an(More)
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