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Beamonte, R., Ezzati-Jivan, N., & Dagenais, M. (2022). Execution trace-based model verification to analyze multicore and real-time systems. Concurrency and Computation-Practice & Experience, 34(17), e6974 (26 pages). Lien externe
Rezazadeh, M., Ezzati-Jivan, N., Azhari, S. V., & Dagenais, M. (2022). Performance evaluation of complex multi-thread applications through execution path analysis. Performance Evaluation, 155-156, 21 pages. Lien externe
Beamonte, R., Ezzati-Jivan, N., & Dagenais, M. (2021). Automated Generation of Model-Based Constraints for Common Multi-core and Real-Time Applications Using Execution Tracing. International Journal of Parallel Programming, 49(1), 104-134. Lien externe
Gelle, L., Ezzati-Jivan, N., & Dagenais, M. (2021). Combining Distributed and Kernel Tracing for Performance Analysis of Cloud Applications. Electronics, 10(21), 2610 (24 pages). Lien externe
Ezzati-Jivan, N., Daoud, H., & Dagenais, M. (2021). Debugging of Performance Degradation in Distributed Requests Handling Using Multilevel Trace Analysis. Wireless Communications and Mobile Computing, 2021, 1-17. Lien externe
Abbasi, H., Ezzati-Jivan, N., Bellaïche, M., Talhi, C., & Dagenais, M. (2021). The Use of Anomaly Detection for the Detection of Different Types of DDoS Attacks in Cloud Environment. Journal of Hardware and Systems Security, 2021(3-4), 208-222. Lien externe
Gassais, R., Ezzati-Jivan, N., Fernandez, J. M., Aloise, D., & Dagenais, M. (2020). Multi-level host-based intrusion detection system for Internet of things. Journal of Cloud Computing-Advances Systems and Applications, 9(1), 62 (16 pages). Lien externe
Nadeau, D., Ezzati-Jivan, N., & Dagenais, M. (2019). Efficient large-scale heterogeneous debugging using dynamic tracing. Journal of Systems Architecture, 98, 346-360. Disponible
Reumont-Locke, F., Ezzati-Jivan, N., & Dagenais, M. (2019). Efficient methods for trace analysis parallelization. International Journal of Parallel Programming, 47(5-6), 951-972. Disponible
Abbasi, H., Ezzati-Jivan, N., Bellaïche, M., Talhi, C., & Dagenais, M. (2019). Machine learning-based EDoS attack detection technique using execution trace analysis. Journal of Hardware and Systems Security, 3(2), 164-176. Disponible
Vergé, A., Ezzati-Jivan, N., & Dagenais, M. (2017). Hardware-assisted software event tracing. Concurrency and Computation: Practice and Experience, 29(10), 1-9. Disponible
Ezzati-Jivan, N., & Dagenais, M. (2017). Multi-scale navigation of large trace data: A survey. Concurrency and Computation: Practice and Experience, 29(10), 1-20. Disponible
Wininger, F., Ezzati-Jivan, N., & Dagenais, M. (2017). A declarative framework for stateful analysis of execution traces. Software Quality Journal, 25(1), 201-229. Disponible
Ezzati-Jivan, N., & Dagenais, M. (2015). Cube data model for multilevel statistics computation of live execution traces. Concurrency and Computation: Practice and Experience, 27(5), 1069-1091. Disponible
Ezzati-Jivan, N., & Dagenais, M. (2013). A framework to compute statistics of system parameters from very large trace files. ACM SIGOPS Operating Systems Review, 47(1), 43-54. Disponible
Ezzati-Jivan, N., & Dagenais, M. (2012). A stateful approach to generate synthetic events from kernel traces. Advances in Software Engineering, 2012, 1-12. Disponible
Delisle, S., Ezzati-Jivan, N., & Dagenais, M. (octobre 2021). Integrated modeling tool for indexing and analyzing state machine trace [Communication écrite]. International Symposium on Networks, Computers and Communications (ISNCC 2021), Dubai, United Arab Emirates (8 pages). Lien externe
Giraldeau, F., Ezzati-Jivan, N., & Dagenais, M. (avril 2021). System execution path profiling using hardware performance counters [Communication écrite]. 15th Annual IEEE International Systems Conference (SysCon 2021), Vancouver, BC, Canada (8 pages). Lien externe
Bationo, Y. J., Ezzati-Jivan, N., Galea, E., & Dagenais, M. (novembre 2020). Cloud Platform Performance Evaluation Using Multi-level Execution Tracing [Communication écrite]. 2020 IEEE Congress on Cybermatics - 13th IEEE International Conferences on Internet of Things (iThings 2020), 16th IEEE International Conference on Green Computing and Communications (GreenCom 2020), 13th IEEE International Conference on Cyber, Physical a, Rhodes Island, Greece. Lien externe
Rezazadeh, M., Ezzati-Jivan, N., Galea, E., & Dagenais, M. (octobre 2020). Multi-level execution trace based lock contention analysis [Communication écrite]. IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2020), Coimbra, Portugal. Lien externe
Fournier, Q., Ezzati-Jivan, N., Aloise, D., & Dagenais, M. (octobre 2019). Automatic cause detection of performance problems in web applications [Communication écrite]. 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany. Lien externe
Ezzati-Jivan, N., Bastien, G., & Dagenais, M. (avril 2018). High latency cause detection using multilevel dynamic analysis [Communication écrite]. Annual IEEE International Systems Conference (SysCon 2018), Vancouver, Canada (8 pages). Disponible
Bationo, Y. J., Ezzati-Jivan, N., & Dagenais, M. (janvier 2018). Efficient cloud tracing: From very high level to very low level [Communication écrite]. IEEE International Conference on Consumer Electronics (ICCE 2018), Las Vegas, NV, USA (6 pages). Disponible
Daoud, H., Ezzati-Jivan, N., & Dagenais, M. (septembre 2017). Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications [Communication écrite]. 2017 IEEE High Performance Extreme Computing Conference, Waltham, MA, USA (7 pages). 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
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
Kouamé, K. G., Ezzati-Jivan, N., & Dagenais, M. (juin 2015). A flexible data-driven approach for execution trace filtering [Communication écrite]. IEEE International Congress on Big Data (BigData Congress 2015), New York, NY, USA (6 pages). Disponible
Montplaisir-Gonçalves, A., Ezzati-Jivan, N., Wininger, F., & Dagenais, M. (septembre 2013). State history tree: an incremental disk-based data structure for very large interval data [Communication écrite]. International Conference on Social Computing (SocialCom 2013), Alexandria, VA, USA (9 pages). Disponible
Ezzati-Jivan, N., & Dagenais, M. (mai 2014). Multiscale navigation in large trace data [Communication écrite]. 27th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2014), Toronto, ON, Canada. Lien externe
Montplaisir, A., Ezzati-Jivan, N., Wininger, F., & Dagenais, M. (septembre 2013). Efficient model to query and visualize the system states extracted from trace data [Communication écrite]. 4th International Conference on Runtime Verification (RV 2013), Rennes, France. Lien externe
Montplaisir-Gonçalves, A., Ezzati-Jivan, N., Wininger, F., & Dagenais, M. (septembre 2013). State history tree : an incremental disk-based data structure for very large interval data [Communication écrite]. ASE/IEEE International Conference on Big Data, Washington, DC. Non disponible
Ezzati-Jivan, N., & Dagenais, M. (novembre 2012). An efficient analysis approach for multi-vore system tracing data [Communication écrite]. 16th IASTED International Conference on Software Engineering and Applications (SEA 2012), Las Vegas, NE, USA. Lien externe
