STATISTICAL ANALYSIS OF Carma MODELS: AN ADVANCED TUTORIAL

Carma (Collective Adaptive Resource-sharing Markovian Agents) is a process-algebra-based quantitative language developed for the modeling of collective adaptive systems. A Carma model consists of an environment in which a collective of components with attribute stores interact via unicast and broadcast communication, providing a rich modeling formalism. The semantics of a Carma model are given by a continuous-time Markov chain which can be simulated using the Carma Eclipse Plug-in. Furthermore, statistical model checking can be applied to the trajectories generated through simulation using the Multi-VeStA tool. This advanced tutorial will introduce some of the theory behind Carma and MultiVeStA as well as demonstrate its application to collective adaptive system modeling.