A Decomposition-Based Modeling Framework for Complex Systems

Stochastic model-based approaches are widely used for performability evaluation of complex software/hardware systems. Many techniques have been developed to mitigate the complexity of the associated models, but most of them are domain-specific, and they support the analysis of a limited class of systems. This paper provides a contribution in the definition of a general modeling framework that adopts three different types of decomposition techniques to deal with model complexity.