Probabilistic Modelling and Evaluation of Soft Real-Time Embedded Systems
Soft real-time systems are often analysed using hard real-time techniques, which are not suitable to take into account the deadline
misses rate allowed in such systems. Therefore, the resulting
system is over-dimensioned, thus exp ensive. To appropriately dimension
soft real-time systems, adequate models, capturing their varying runtime
behaviour, are needed. By using the concepts of a mathematically defined
language, we provide a modelling approach based on patterns that are
able to express the variations app earing in the system timing behaviour.
Based on these modelling patterns, models can be easily created and are
amenable to average case performance evaluation. By the means of a
case study, we show the type of results that can be obtained from such
an evaluation and how these results are used to dimension the system.
- Probabilistic Modelling and Evaluation of Soft Real-Time Embedded Systems
O. Florescu. M. de Hoon, J. Voeten, H. Corporaal
In the Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS VI), LNCS 4017, pp 206-215, 17-20 July 2006, Samos, Greece. (abstract, pdf)
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