Marked Markovian Arrival Processes (MMAPs) are a class of stochastic processes used to model multi-class correlated arrivals at a queuing system. M3A is a set of Matlab functions designed for computing the statistical descriptors of MMAPs and fitting marked traces with MMAPs. The documentation is available here.

M3A is a joint work of Andrea Sansottera, Giuliano Casale and Paolo Cremonesi. If you use M3A for your research, please reference the following paper:

Andrea Sansottera, Giuliano Casale, Paolo Cremonesi, Fitting Second-Order Acyclic Marked Markovian Arrival Processes, IEEE/IFIP Dependable Systems and Networks (DSN), 2013 Paper Bibtex