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Number of items: 26.

2019

Nadeau, D., Ezzati-Jivan, N. & Dagenais, M. R. (2019). Efficient large-scale heterogeneous debugging using dynamic tracing. Journal of Systems Architecture, p. 1-17.

2018

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

2017

Daoud, H., Ezzati-jivan, N. & Dagenais, M. R. (2017, September). Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications. Paper presented at 2017 IEEE High Performance Extreme Computing Conference, Waltham, MA, USA (7 pages).

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

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

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

Ezzati-Jivan, N. & Dagenais, M. R. (2017). Multi-scale navigation of large trace data: A survey. Concurrency and Computation: Practice and Experience, 29(10), p. 1-20.

Wininger, F., Ezzati-Jivan, N. & Dagenais, M. R. (2017). A declarative framework for stateful analysis of execution traces. Software Quality Journal, 25(1), p. 201-229.

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

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

2016

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

Nemati, H. & Dagenais, M. R. (2016, October). Virtual CPU state detection and execution flow analysis by host tracing. Paper presented at 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).

Biancheri, C., Ezzati-Jivan, N. & Dagenais, M. R. (2016, August). Multilayer virtualized systems analysis with kernel tracing. Paper presented at 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW 2016), Vienna, Austria (7 pages).

Prieur-Drevon, L., Beamonte, R., Ezzati-Jivan, N. & Dagenais, M. R. (2016, June). Enhanced state history tree (eSHT): a stateful data structure for analysis of highly parallel system traces. Paper presented at IEEE International Congress on Big Data (BigData Congress 2016), San Francisco, CA, USA (8 pages).

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

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

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

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

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

2015

Kouamé, K. G., Ezzati-Jivan, N. & Dagenais, M. R. (2015, June). A flexible data-driven approach for execution trace filtering. Paper presented at IEEE International Congress on Big Data (BigData Congress 2015), New York, NY, USA (6 pages).

Ezzati-Jivan, N. & Dagenais, M. R. (2015). Cube data model for multilevel statistics computation of live execution traces. Concurrency and Computation: Practice and Experience, 27(5), p. 1069-1091.

2014

Montplaisir-Gonçalves, A., Ezzati-Jivan, N., Wininger, F. & Dagenais, M. R. (2013, September). State history tree: an incremental disk-based data structure for very large interval data. Paper presented at International Conference on Social Computing (SocialCom 2013), Alexandria, VA, USA (9 pages).

2013

Ezzati-Jivan, N. & Dagenais, M. R. (2013). A framework to compute statistics of system parameters from very large trace files. ACM SIGOPS Operating Systems Review, 47(1), p. 43-54.

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

2012

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

2009

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

This list was generated on Tue Nov 12 01:39:09 2019 EST.