Items where Author is "Ezzati-Jivan, Naser"

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

B

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

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

D

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

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

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

N

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

P

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

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