Uncovering DEVS Simulation Behaviour Throughout The Open Provenance Model
Alejandro Moreno, José L. Risco-Martín and Joaquín Aranda
Symposium on Theory of Modeling and Simulation (DEVS'10) (DEVS 2010)
Orlando, ON, April 11-15 2010
DEVS models are getting to be more and more sophisticated due to large scale objectives such as modeling complex physical continuous systems. The assurance of the validity and quality of simulation data handling and analysis remains a great challenge. Thus, the need of providing insight of DEVS simulation performance arises. In particular, information about simulation processes workflow and internal data values and management. Provenance-aware systems are designed to satisfy those needs by documenting processes and casual dependencies. Provenance is a critical concept in scientific workflows, since it allows scientists to understand the origin of their results, to repeat their experiments, and to validate the processes that were used to derive data products. Recently, the provenance community agreed that a 'Provenance Challenge' should be set to compare and understand existing approaches and updated the Open Provenance Model (OPM). Because DEVS simulation performance analysis is becoming more complicated, we introduce provenance documentation technology to uncover DEVS models behaviours during a simulation. In addition, we apply the OPM formalization due to interoperability reasons and provide support to the Third Provenance Challenge.
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