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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.
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.
Belkhiri, A., & Dagenais, M. (2024). Analyzing GPU Performance in Virtualized Environments: A Case Study. Future Internet, 16(3), 72 (18 pages). Available
Belkhiri, A., Ben Attia, M., Gohring de Magalhaes, F., & Nicolescu, G. (2024, May). Towards Efficient Diagnosis of Performance Bottlenecks in Microservice-Based Applications (Work In Progress paper) [Paper]. Companion of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE 2024 - Companion), London, United Kingdom. External link
Belkhiri, A., Pepin, M., Bly, M., & Dagenais, M. (2023). Performance analysis of DPDK-based applications through tracing. Journal of Parallel and Distributed Computing, 173, 1-19. External link
Belkhiri, A., Shahnejat Bushehri, A., Gohring de Magalhaes, F., & Nicolescu, G. (2023, April). Transparent Trace Annotation for Performance Debugging in Microservice-oriented Systems (Work In Progress Paper) [Paper]. ACM/SPEC International Conference on Performance Engineering - Companion (ICPE 2023), Coimbra, Portugal. External link
Belkhiri, A., Bushehri, A. S., & Dagenais, M. (2022, July). Virtual Networks Link-Layer Topologies Discovery through Host-based Tracing [Paper]. International Conference on Electrical, Computer and Energy Technologies (ICECET 2022), Pragues, Czech Republic (8 pages). External link
Belkhiri, A. (2021). Analyse de performances des réseaux programmables, à partir d'une trace d'exécution [Ph.D. thesis, Polytechnique Montréal]. Available
Belkhiri, A., & Dagenais, M. (2021). Diagnostic and troubleshooting of OpenFlow-enabled switches using kernel and userspace traces. International Journal of Communication Systems, 34(14), 22 pages. External link
Liu, X., Belkhiri, A., Jin, M., Li, Y., & Artho, C. (2025, March). ContractViz: Extending Eclipse Trace Compass for Smart Contract Transaction Analysis [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2025), Montreal, QC, Canada. External link
Shahnejat Bushehri, A., Balboul, A., Belkhiri, A., Keivanpour, S., & Nicolescu, G. (2025). NOProbe: A NOP-based Dynamic Binary Instrumentation Framework Using Binary Rewriting on x86. IEEE Transactions on Dependable and Secure Computing, 17 pages. External link
Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., Gohring de Magalhaes, F., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. External link
