Performance Evaluation of a Real-time Simulation Architecture using Probabilistic Model Checking

The goal of this paper is to show how to use probabilistic model checking techniques in order to achieve quantitative performance evaluation of a real-time distributed simulation. A simulation based on the High Level Architecture (HLA) is modelled as a stochastic process, a Continuous Time Markov Chain (CTMC), using the stochastic algebra PEPA. Next a property representing a performance constraint is evaluated applying Continuous Stochastic Logic CSL formula on the CTMC model using the probabilistic model checker PRISM. Finally a first experiment is made to compare the model with a real case.