Markov fluid models for energy and performance analysis

Traditional performance analysis methods are often based on discrete state continuous time Markov chains (CTMC). One of the main reasons of this choice is the relative simplicity of the analysis of CTMCs. Discrete state models are applicable when the considered system behavior can be represented with a finite or countable set. More recently performance models with hybrid (discrete and continuous) state space gain attention in performance analysis. In these models the system parameters with continuous values can be considered as well. We focus on the available analysis methods of Markov models with hybrid (discrete and continuous) state space and present application examples.