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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Fournier, Q., Aloise, D., Azhari, S. V., & Tétreault, F. (2021, May). On improving deep learning trace analysis with system call arguments [Paper]. 18th IEEE/ACM International Conference on Mining Software Repositories (MSR 2021), Madrid, Spain. External link
Janecek, M., Ezzati-Jivan, N., & Azhari, S. V. (2021, October). Container Workload Characterization Through Host System Tracing [Paper]. IEEE International Conference on Cloud Engineering (IC2E 2021), San Francisco, CA, USA. External link
Kohyarnejadfard, I., Aloise, D., Azhari, S. V., & Dagenais, M. (2022). Anomaly detection in microservice environments using distributed tracing data analysis and NLP. Journal of Cloud Computing, 11(1), 16 pages. External link
Nemati, H., Azhari, S. V., Shakeri, M., & Dagenais, M. (2021). Host-Based Virtual Machine Workload Characterization Using Hypervisor Trace Mining. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 6(1), 1-25. External link
Naert, P., Azhari, S. V., & Dagenais, M. (2021). Interactive and targeted runtime verification using a debugger-based architecture. Journal of Systems Architecture, 115, 10 pages. External link
Nemati, H., Azhari, S. V., & Dagenais, M. (2019, June). Host hypervisor trace mining for virtual machine workload characterization [Paper]. 7th IEEE International Conference on Cloud Engineering (IC2E 2019), Prague, Czech republic. External link
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
