@inproceedings{Ral2019, Author = {Ralf Stemmer and Hai-Dang Vu and Kim Grüttner and Sebastien Le Nours and Wolfgang Nebel and Sebastien Pillement}, Title = {Experimental Evaluation of Probabilistic Execution-Time Modeling and Analysis Methods for SDF Applications on MPSoCs}, Year = {2019}, Booktitle = {International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XIX)}, Url = {https://link.springer.com/chapter/10.1007/978-3-030-27562-4_17}, type = {inproceedings}, Abstract = {Early validation of software running on multi-processor platforms is fundamental to guarantee that real-time constraints will be fully met. In the domain of timing analysis probabilistic simulation techniques tackle the problem of scalability. However, creation of probabilistic SystemC models remains a difficult task and is not well supported for multi-processors systems. In this paper we present a modeling workflow that will then be used for an experimental evaluation of probabilistic simulation techniques. For the modeling process a measurement-based approach is proposed to favor the creation of trustful models. The evaluated probabilistic simulation techniques demonstrate good potential to deliver fast yet accurate estimations for multi-processor systems.} } @COMMENT{Bibtex file generated on }