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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
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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. External link
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. Available
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). External link
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. External link
Bationo, Y. J., Ezzati-Jivan, N., Galea, E., & Dagenais, M. (2020, November). Cloud Platform Performance Evaluation Using Multi-level Execution Tracing [Paper]. 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. External link
Bationo, Y. J., Ezzati-Jivan, N., & Dagenais, M. (2018, January). Efficient cloud tracing: From very high level to very low level [Paper]. IEEE International Conference on Consumer Electronics (ICCE 2018), Las Vegas, NV, USA (6 pages). Available
Biancheri, C., Ezzati-Jivan, N., & Dagenais, M. (2016, August). Multilayer virtualized systems analysis with kernel tracing [Paper]. 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW 2016), Vienna, Austria (6 pages). Available
Delisle, S., Ezzati-Jivan, N., & Dagenais, M. (2021, October). Integrated modeling tool for indexing and analyzing state machine trace [Paper]. International Symposium on Networks, Computers and Communications (ISNCC 2021), Dubai, United Arab Emirates (8 pages). External link
Daoud, H., Ezzati-Jivan, N., & Dagenais, M. (2017, September). Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications [Paper]. 2017 IEEE High Performance Extreme Computing Conference, Waltham, MA, USA (7 pages). Available
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. External link
Ezzati-Jivan, N., Bastien, G., & Dagenais, M. (2018, April). High latency cause detection using multilevel dynamic analysis [Paper]. Annual IEEE International Systems Conference (SysCon 2018), Vancouver, Canada (8 pages). Available
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. Available
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. Available
Ezzati-Jivan, N., & Dagenais, M. (2014, May). Multiscale navigation in large trace data [Paper]. 27th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2014), Toronto, ON, Canada. External link
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. Available
Ezzati-Jivan, N., & Dagenais, M. (2012). A stateful approach to generate synthetic events from kernel traces. Advances in Software Engineering, 2012, 1-12. Available
Ezzati-Jivan, N., & Dagenais, M. (2012, November). An efficient analysis approach for multi-vore system tracing data [Paper]. 16th IASTED International Conference on Software Engineering and Applications (SEA 2012), Las Vegas, NV, USA. External link
Fournier, Q., Ezzati-Jivan, N., Aloise, D., & Dagenais, M. (2019, October). Automatic cause detection of performance problems in web applications [Paper]. 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany. External link
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). External link
Giraldeau, F., Ezzati-Jivan, N., & Dagenais, M. (2021, April). System execution path profiling using hardware performance counters [Paper]. 15th Annual IEEE International Systems Conference (SysCon 2021), Vancouver, BC, Canada (8 pages). External link
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). External link
Kouamé, K. G., Ezzati-Jivan, N., & Dagenais, M. (2015, June). A flexible data-driven approach for execution trace filtering [Paper]. IEEE International Congress on Big Data (BigData Congress 2015), New York, NY, USA (6 pages). Available
Montplaisir-Gonçalves, A., Ezzati-Jivan, N., Wininger, F., & Dagenais, M. (2013, September). State history tree: an incremental disk-based data structure for very large interval data [Paper]. International Conference on Social Computing (SocialCom 2013), Alexandria, VA, USA (9 pages). Available
Montplaisir, A., Ezzati-Jivan, N., Wininger, F., & Dagenais, M. (2013, September). Efficient model to query and visualize the system states extracted from trace data [Paper]. 4th International Conference on Runtime Verification (RV 2013), Rennes, France. External link
Montplaisir-Gonçalves, A., Ezzati-Jivan, N., Wininger, F., & Dagenais, M. (2013, September). State history tree : an incremental disk-based data structure for very large interval data [Paper]. ASE/IEEE International Conference on Big Data, Washington, DC. Unavailable
Nadeau, D., Ezzati-Jivan, N., & Dagenais, M. (2019). Efficient large-scale heterogeneous debugging using dynamic tracing. Journal of Systems Architecture, 98, 346-360. Available
Prieur-Drevon, L., Beamonte, R., Ezzati-Jivan, N., & Dagenais, M. (2016, June). Enhanced state history tree (eSHT): a stateful data structure for analysis of highly parallel system traces [Paper]. IEEE International Congress on Big Data (BigData Congress 2016), San Francisco, CA, USA (8 pages). Available
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. External link
Rezazadeh, M., Ezzati-Jivan, N., Galea, E., & Dagenais, M. (2020, October). Multi-level execution trace based lock contention analysis [Paper]. IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2020), Coimbra, Portugal. External link
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. Available
Vergé, A., Ezzati-Jivan, N., & Dagenais, M. (2017). Hardware-assisted software event tracing. Concurrency and Computation: Practice and Experience, 29(10), 1-9. Available
Wininger, F., Ezzati-Jivan, N., & Dagenais, M. (2017). A declarative framework for stateful analysis of execution traces. Software Quality Journal, 25(1), 201-229. Available
