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Performance prediction has been intensively studied in the last decade, alongside the accelerated development of distributed systems. This paper focuses on a hybrid approach regarding model solving, combining two popular prediction techniques applied separately so far, analytical and simulation modeling, in order to benefit from the strengths of both. The input UML model with MARTE (Modeling and Analysis of Real-time and Embedded systems) annotations is transformed into a hierarchically decomposed performance model, and performance results for simulated sub models are used by an analytical solver. The validation of the proposed method is to be performed with a tool called PHYMSS (Performance Hybrid Model Solver and Simulator) developed by the authors that implements both the hybrid solver and a multithreaded simulator.