Analysis and Simulation Tools for Probabilistic Real-Time Systems

Dorin Maxim 1 Antoine Bertout 2
1 MADYNES - Management of dynamic networks and services
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
2 AOSTE - Models and methods of analysis and optimization for systems with real-time and embedding constraints
CRISAM - Inria Sophia Antipolis - Méditerranée , COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués, Inria de Paris
Abstract : In this paper we present two tools meant to simulate and analyze probabilistic real-time task sets. That is, tasks sets which have their timing parameters represented by discrete probabilistic distributions. We describe the main features of each tool and provide configuration details necessary to use them. The two tools are compared, pointing out the advantages and disadvantages of each one, so that interested users can make an informed choice regarding which tool best fits their needs. Both tools are open source and freely available. One of the main objectives of this paper is to make these tools available to the real-time systems research community, which is also invited to participate in their improvements, by giving feedback and even extending the implementations.
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Communication dans un congrès
8th International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems (WATERS), Jun 2017, Dubrovnik, Croatia. 2017, 〈https://waters2017.inria.fr/〉
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Dorin Maxim, Antoine Bertout. Analysis and Simulation Tools for Probabilistic Real-Time Systems. 8th International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems (WATERS), Jun 2017, Dubrovnik, Croatia. 2017, 〈https://waters2017.inria.fr/〉. 〈hal-01552798〉

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