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This 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.
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A 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.
Daoud, H., & Dagenais, M. (2020). Multilevel analysis of the java virtual machine based on kernel and userspace traces. Journal of Systems and Software, 167, 17 pages. External link
Daoud, H., & Dagenais, M. (2020). Performance analysis of distributed storage clusters based on kernel and userspace traces. Software - Practice and Experience, 51(1), 5-24. External link
Daoud, H. (2019). Analyse des performances de stockage, en mémoire et sur les périphériques d'entrée/sortie, à partir d'une trace d'exécution [Ph.D. thesis, Polytechnique Montréal]. Available
Daoud, H., & Dagenais, M. (2018). Recovering disk storage metrics from low-level trace events. Software: Practice and Experience, 48(5), 1019-1041. 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