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Beamonte, R., & Dagenais, M. (2016). Detection of common problems in real-Time and multicore systems using model-based constraints. Scientific Programming, 2016, 1-18. Disponible
Biancheri, C., & Dagenais, M. (2016). Fine-grained multilayer virtualized systems analysis. Journal of Cloud Computing, 5(1), 1-14. Disponible
Côté, M., & Dagenais, M. (2016). Problem detection in real-time systems by trace analysis. Advances in Computer Engineering, 2016, 1-12. Disponible
Desfossez, J., Desnoyers, M., & Dagenais, M. (2016). Runtime latency detection and analysis. Software: Practice and Experience, 46(10), 1397-1409. Disponible
Doray, F., & Dagenais, M. (2016). Diagnosing performance variations by comparing multi-level execution traces. IEEE Transactions on Parallel and Distributed Systems, 28(2), 462-474. Disponible
Giraldeau, F., & Dagenais, M. (2016). Wait analysis of distributed systems using kernel tracing. IEEE Transactions on Parallel and Distributed Systems, 27(8), 2450-2461. Disponible
Sharma, S. D., & Dagenais, M. (2016). Enhanced Userspace and In-Kernel Trace Filtering for Production Systems. Journal of Computer Science and Technology, 31(6), 1161-1178. Lien externe
Sharma, S. D., & Dagenais, M. (2016). Hardware-assisted instruction profiling and latency detection. The Journal of Engineering, 2016(10), 367-376. Disponible
Biancheri, C., Ezzati-Jivan, N., & Dagenais, M. (août 2016). Multilayer virtualized systems analysis with kernel tracing [Communication écrite]. 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW 2016), Vienna, Austria (6 pages). Disponible
Nemati, H., & Dagenais, M. (octobre 2016). Virtual CPU state detection and execution flow analysis by host tracing [Communication écrite]. IEEE International Conferences on Big Data and Cloud Computing, Social Computing and Networking, Sustainable Computing and Communications (BDCloud 2016) (SocialCom 2016) (SustainCom 2016), Atlanta, GA, USA (9 pages). Disponible
Prieur-Drevon, L., Beamonte, R., Ezzati-Jivan, N., & Dagenais, M. (juin 2016). Enhanced state history tree (eSHT): a stateful data structure for analysis of highly parallel system traces [Communication écrite]. IEEE International Congress on Big Data (BigData Congress 2016), San Francisco, CA, USA (8 pages). Disponible
Dagenais, M., Deschênes, J., McDonald, M., Baptiste, P., Mascle, C., Legros, R., Spreutels, L., Marinova, M., Perrier, M., & Frayret, J.-M. (2016). Les stratégies de circularité des ressources. Dans Sauvé, S., Normandin, D., & McDonald, M. (édit.), L'économie circulaire : une transition incontournable (p. 37-63). Lien externe