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Sensoria Bibliography Site Stochastic Simulation of Graph Transformation Systems
Paolo Torrini, Reiko Heckel, István Ráth
abstract:
Graph transformation systems can be used for high-level stochastic
modelling of dynamic systems and networks. Allowing for non-exponential distributions, the resulting systems can be described as semi-Markov processes with graphs as states and transformations as transitions.
We present a tool for the stochastic simulation of such processes, developed in Java-Eclipse as an application of the graph transformation tool VIATRA. The main performance challenge in stochastic simulation of graph transformations, to find in each state of the simulation all matches for all rules, is addressed through VIATRA's incremental pattern matching approach. We illustrate and evaluate the application of the tool by the simulation of a P2P reconfiguration protocol.
