Abstract
As systems become increasingly sophisticated, their state spaces become larger and the use of analysis and simulation techniques is impossible by a single-processor machine. Distributed simulation seems the natural way to afford this problem. However, the main bottleneck of distributed simulation is the management, compilation and deployment of large scale models. This paper presents the experimentation results of a compiler of large scale Petri-net based models.
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Acknowledgments
This work was co-financed by the Aragonese Government and the European Regional Development Fund “Construyendo Europa desde Aragón” (COSMOS research group); and by the Spanish program “Programa estatal del Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i”, project PGC2018-099815-B-100.
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Pelayo, T., Arronategui, U., Bañares, J.Á., Colom, J.M. (2023). Design and Implementation of a Compiler for Simulation of Large-Scale Models. In: Bañares, J.Á., Altmann, J., Agmon Ben-Yehuda, O., Djemame, K., Stankovski, V., Tuffin, B. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2022. Lecture Notes in Computer Science, vol 13430. Springer, Cham. https://doi.org/10.1007/978-3-031-29315-3_16
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DOI: https://doi.org/10.1007/978-3-031-29315-3_16
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