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Belkhiri, A., & Dagenais, M. (2024). Analyzing GPU Performance in Virtualized Environments: A Case Study. Future Internet, 16(3), 72 (18 pages). Disponible
Belkhiri, A., Ben Attia, M., De Magalhaes, F. G., & Nicolescu, G. (mai 2024). Towards Efficient Diagnosis of Performance Bottlenecks in Microservice-Based Applications (Work In Progress paper) [Communication écrite]. Companion of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE 2024 - Companion), London, United Kingdom. Lien externe
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. Lien externe
Belkhiri, A., Shahnejat Bushehri, A., Göhring de Magalhães, F., & Nicolescu, G. (avril 2023). Transparent Trace Annotation for Performance Debugging in Microservice-oriented Systems (Work In Progress Paper) [Communication écrite]. ACM/SPEC International Conference on Performance Engineering - Companion (ICPE 2023), Coimbra, Portugal. Lien externe
Belkhiri, A., Bushehri, A. S., & Dagenais, M. (juillet 2022). Virtual Networks Link-Layer Topologies Discovery through Host-based Tracing [Communication écrite]. International Conference on Electrical, Computer and Energy Technologies (ICECET 2022), Pragues, Czech Republic (8 pages). Lien externe
Belkhiri, A. (2021). Analyse de performances des réseaux programmables, à partir d'une trace d'exécution [Thèse de doctorat, Polytechnique Montréal]. Disponible
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. Lien externe
Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., De Magalhaes, F. G., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. Lien externe
