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The validation of dependability or performance requirements is often done experimentally using simulation experiments. In several applications, the experiments have a binary output which describes whether a requirement is met or not. In highly dependable systems the probability of missing a requirement is 10-6 or below which implies that statistically significant results have to be computed for binomial...
The adequate modeling of input processes often requires that correlation is taken into account and is a key issue in building realistic simulation models. In analytical modeling Markovian Arrival Processes (MAPs) are commonly used to describe correlated arrivals, whereas for simulation often ARMA/ARTA-based models are in use. Determining the parameters for the latter input models is well-known whereas...
Large Service Oriented Architectures (SOAs) have to fulfill qualitative and quantitative requirements. Usually Service Level Agreements (SLAs) are defined to fix the maximal load the system can accept and the minimal performance and dependability requirements the system has to provide. In a complex SOA where services use other services and thus performance and dependability of a service depend on...
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