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Items where Author is "Dagenais, Michel"

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Number of items: 46.

A

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

Abusitta, A., Bellaïche, M., & Dagenais, M. (2018, February). A trust-based game theoretical model for cooperative intrusion detection in multi-cloud environments [Paper]. 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN 2018), Paris, France (8 pages). Available

Abusitta, A., Bellaïche, M., & Dagenais, M. (2018). An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment. Journal of Cloud Computing : Advances, Systems and Applications, 7(9). Available

B

Benbachir, A., & Dagenais, M. (2021). Hypertracing: Tracing through virtualization layers. IEEE Transactions on Cloud Computing, 9(2), 654-669. Available

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

Benbachir, A., De Melo, I. F., Dagenais, M., & Adams, B. (2017, July). Automated performance deviation detection across software versions releases [Paper]. 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS), Prague, Czech Republic (8 pages). Available

Bertauld, T., & Dagenais, M. (2017). Low-level trace correlation on heterogeneous embedded systems. EURASIP Journal on Embedded Systems, 2017(1), 1-14. Available

Biancheri, C., & Dagenais, M. (2016). Fine-grained multilayer virtualized systems analysis. Journal of Cloud Computing, 5(1), 1-14. 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

Beamonte, R., & Dagenais, M. (2016). Detection of common problems in real-Time and multicore systems using model-based constraints. Scientific Programming, 2016, 1-18. Available

Beamonte, R., & Dagenais, M. (2015). Linux low-latency tracing for multicore hard real-time systems. Advances in Computer Engineering, 2015. Available

C

Côté, M., & Dagenais, M. (2016). Problem detection in real-time systems by trace analysis. Advances in Computer Engineering, 2016. Available

Couturier, D., & Dagenais, M. (2015). LTTng CLUST: A system-wide unified CPU and GPU tracing tool for OpenCL applications. Advances in Software Engineering, 2015. Available

Clément, É., & Dagenais, M. (2009). Traces synchronization in distributed networks. Journal of Computer Systems, Networks, and Communications, 2009, 1-11. Available

D

De Melo, I. F., Benbachir, A., & Dagenais, M. (2018, July). Performance analysis using automatic grouping [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2018), Lisbonne, Portugal (7 pages). Available

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

Desfossez, J., Desnoyers, M., & Dagenais, M. (2016). Runtime latency detection and analysis. Software: Practice and Experience, 46(10), 1397-1409. Available

Doray, F., & Dagenais, M. (2016). Diagnosing performance variations by comparing multi-level execution traces. IEEE Transactions on Parallel and Distributed Systems, 28(2), 462-474. Available

E

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. (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. Available

G

Gebai, M., & Dagenais, M. (2018). Survey and analysis of kernel and userspace tracers on Linux : design, implementation, and overhead. ACM Computing Surveys, 51(2), 26:1-26:33. Available

Giraldeau, F., & Dagenais, M. (2016). Wait analysis of distributed systems using kernel tracing. IEEE Transactions on Parallel and Distributed Systems, 27(8), 2450-2461. Available

Gebai, M., Giraldeau, F., & Dagenais, M. (2014). Fine-grained preemption analysis for latency investigation across virtual machines. Journal of Cloud Computing : Advances, Systems and Applications, 3, 23 (15 pages). Available

K

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

M

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

Marouani, H., & Dagenais, M. (2008). Internal clock drift estimation in computer clusters. Journal of Computer Systems, Networks, and Communications, 2008, 583162 (7 pages). Available

N

Nemati, H., & Dagenais, M. (2020). virtFlow: guest independent execution flow analysis across virtualized environments. IEEE Transactions on Cloud Computing, 8(3), 943-956. Available

Nadeau, D., Ezzati-Jivan, N., & Dagenais, M. (2019). Efficient large-scale heterogeneous debugging using dynamic tracing. Journal of Systems Architecture, 98, 346-360. Available

Nemati, H., Bastien, G., & Dagenais, M. (2018, January). Wait analysis of virtual machines using host kernel tracing [Paper]. IEEE International Conference on Consumer Electronics (ICCE 2018), Las Vegas, États-Unis (6 pages). Available

Nemati, H., & Dagenais, M. (2018, April). VM processes state detection by hypervisor tracing [Paper]. Annual IEEE International Systems Conference (SysCon 2018), Vancouver, Canada (8 pages). Available

Nemati, H., Sharma, S. D., & Dagenais, M. (2017, May). Fine-grained nested virtual machine performance analysis through first level hypervisor tracing [Paper]. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2017), Madrid, Espagne (6 pages). Available

Nemati, H., & Dagenais, M. (2016, October). Virtual CPU state detection and execution flow analysis by host tracing [Paper]. IEEE International Conferences on Big Data and Cloud Computing, Social Computing and Networking, Sustainable Computing and Communications (BDCloud 2016) (SocialCom 2016) (SustainCom 2016), Atlanta, GA, USA (9 pages). Available

P

Prieur-Drevon, L., Beamonte, R., & Dagenais, M. (2018). R-SHT: A state history tree with R-Tree properties for analysis and visualization of highly parallel system traces. Journal of Systems and Software, 135, 55-68. 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

R

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

Rajotte, F., & Dagenais, M. (2014). Real-time Linux analysis using low-impact tracer. Advances in Computer Engineering, 2014, 173976 (8 pages). Available

S

Sharma, S. D., Bastien, G., Nemati, H., & Dagenais, M. (2016, December). Low overhead hardware-assisted virtual machine analysis and profiling [Paper]. 2016 IEEE Globecom Workshops (GC Wkshps), Washington, DC, USA (6 pages). Available

Sharma, S. D., & Dagenais, M. (2016). Hardware-assisted instruction profiling and latency detection. The Journal of Engineering, 2016(10), 367-376. Available

Shameli-Sendi, A., Desfossez, J., Dagenais, M., & Jabbarifar, M. (2013). A retroactive-burst framework for automated intrusion response system. Journal of Computer Networks and Communications, 2013, 1-8. Available

Shameli-Sendi, A., Jabbarifar, M., Dagenais, M., & Shajari, M. (2012). System health monitoring using a novel method : security unified process. Journal of Computer Networks and Communications, 2012, 1-20. Available

V

Vergé, A., Ezzati-Jivan, N., & Dagenais, M. (2017). Hardware-assisted software event tracing. Concurrency and Computation: Practice and Experience, 29(10), 1-9. Available

W

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

Z

Zins, P., & Dagenais, M. (2019). Tracing and profiling machine learning dataflow applications on GPU. International Journal of Parallel Programming, 47(5-6), 973-1013. Available

List generated on: Sun Feb 5 02:17:16 2023 EST