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Naser Ezzati-Jivan

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affiliation: Brock University, Computer Science Department, St. Catharines, ON, Canada

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Journal Articles

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2024
[j18]
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Yue Guan, Morteza Noferesti, Naser Ezzati-Jivan:
A two-tiered framework for anomaly classification in IoT networks utilizing CNN-BiLSTM model. Softw. Impacts 20: 100646 (2024)
2022
[j17]
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Raphaël Beamonte, Naser Ezzati-Jivan, Michel R. Dagenais:
Execution trace-based model verification to analyze multicore and real-time systems. Concurr. Comput. Pract. Exp. 34(17) (2022)
[j16]
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Majid Rezazadeh, Naser Ezzati-Jivan, Seyed Vahid Azhari, Michel R. Dagenais:
Performance evaluation of complex multi-thread applications through execution path analysis. Perform. Evaluation 155-156: 102289 (2022)
2021
[j15]
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Raphaël Beamonte, Naser Ezzati-Jivan, Michel R. Dagenais:
Automated Generation of Model-Based Constraints for Common Multi-core and Real-Time Applications Using Execution Tracing. Int. J. Parallel Program. 49(1): 104-134 (2021)
[j14]
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Hossein Abbasi, Naser Ezzati-Jivan, Martine Bellaïche, Chamseddine Talhi, Michel R. Dagenais:
The Use of Anomaly Detection for the Detection of Different Types of DDoS Attacks in Cloud Environment. J. Hardw. Syst. Secur. 5(3): 208-222 (2021)
[j13]
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Yonni Chen Kuang Piao, Naser Ezzati-Jivan, Michel R. Dagenais:
Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization. Sensors 21(16): 5560 (2021)
2020
[j12]
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Robin Gassais, Naser Ezzati-Jivan, Jose M. Fernandez, Daniel Aloise, Michel R. Dagenais:
Multi-level host-based intrusion detection system for Internet of things. J. Cloud Comput. 9: 62 (2020)
[j11]
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Ji Wang, Naser Ezzati-Jivan:
Enhanced execution trace abstraction approach using social network analysis methods. Softwaretechnik-Trends 40(3): 58-60 (2020)
2019
[j10]
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Fabien Reumont-Locke, Naser Ezzati-Jivan, Michel R. Dagenais:
Efficient Methods for Trace Analysis Parallelization. Int. J. Parallel Program. 47(5-6): 951-972 (2019)
[j9]
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Hossein Abbasi, Naser Ezzati-Jivan, Martine Bellaïche, Chamseddine Talhi, Michel R. Dagenais:
Machine Learning-Based EDoS Attack Detection Technique Using Execution Trace Analysis. J. Hardw. Syst. Secur. 3(2): 164-176 (2019)
[j8]
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Didier Nadeau, Naser Ezzati-Jivan, Michel R. Dagenais:
Efficient large-scale heterogeneous debugging using dynamic tracing. J. Syst. Archit. 98: 346-360 (2019)
2017
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Naser Ezzati-Jivan, Michel R. Dagenais:
Multi-scale navigation of large trace data: A survey. Concurr. Comput. Pract. Exp. 29(10) (2017)
[j6]
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Adrien Vergé, Naser Ezzati-Jivan, Michel R. Dagenais:
Hardware-assisted software event tracing. Concurr. Comput. Pract. Exp. 29(10) (2017)
[j5]
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Florian Wininger, Naser Ezzati-Jivan, Michel R. Dagenais:
A declarative framework for stateful analysis of execution traces. Softw. Qual. J. 25(1): 201-229 (2017)
2015
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Naser Ezzati-Jivan, Michel R. Dagenais:
Cube data model for multilevel statistics computation of live execution traces. Concurr. Comput. Pract. Exp. 27(5): 1069-1091 (2015)
2013
[j3]
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Naser Ezzati-Jivan, Michel R. Dagenais:
A framework to compute statistics of system parameters from very large trace files. ACM SIGOPS Oper. Syst. Rev. 47(1): 43-54 (2013)
2012
[j2]
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Naser Ezzati-Jivan, Michel R. Dagenais:
A Stateful Approach to Generate Synthetic Events from Kernel Traces. Adv. Softw. Eng. 2012: 140368:1-140368:12 (2012)
2010
[j1]
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Masoume Jabbarifar, Alireza Shameli-Sendi, Alireza Sadighian, Naser Ezzati-Jivan, Michel R. Dagenais:
A Reliable and Efficient Time Synchronization Protocol for Heterogeneous Wireless Sensor Network. Wirel. Sens. Netw. 2(12): 910-918 (2010)

Conference and Workshop Papers

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2024
[c41]
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Kasra Darvishi, Morteza Noferesti, Naser Ezzati-Jivan:
Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models. NIER@ICSE 2024: 62-66
[c40]
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  - conf/icse/SedkiHMES24
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Issam Sedki, Abdelwahab Hamou-Lhadj, Otmane Aït Mohamed, Naser Ezzati-Jivan, Mohammed A. Shehab:
Decoding Log Parsing Challenges: A Comprehensive Taxonomy for Actionable Solutions. ICSE Companion 2024: 392-393
[c39]
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  - conf/wosp/PanahandehEH024
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Mahsa Panahandeh, Naser Ezzati-Jivan, Abdelwahab Hamou-Lhadj, James Miller:
Context-aware Root Cause Localization in Distributed Traces Using Social Network Analysis (Work In Progress paper). ICPE (Companion) 2024: 1-6
[c38]
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Amirmahdi Khosravi Tabrizi, Naser Ezzati-Jivan, François Tetreault:
An Adaptive Logging System (ALS): Enhancing Software Logging with Reinforcement Learning Techniques. ICPE 2024: 37-47
[c37]
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Mahsa Panahandeh, Naser Ezzati-Jivan, Abdelwahab Hamou-Lhadj, James Miller:
Efficient Unsupervised Latency Culprit Ranking in Distributed Traces with GNN and Critical Path Analysis. ICPE (Companion) 2024: 62-66
[c36]
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Ghazal Khodabandeh, Alireza Ezaz, Naser Ezzati-Jivan:
Network Analysis of Microservices: A Case Study on Alibaba Production Clusters. ICPE (Companion) 2024: 67-71
[c35]
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Alireza Ezaz, Ghazal Khodabandeh, Naser Ezzati-Jivan:
Analyzing Performance Variability in Alibaba's Microservice Architecture: A Critical-Path-Based Perspective. ICPE (Companion) 2024: 82-86
[c34]
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Marios-Eleftherios Fokaefs, Filipe Oliveira, Naser Ezzati-Jivan:
12th International Workshop on Load Testing and Benchmarking of Software Systems: LTB'24 Chairs' Welcome. ICPE (Companion) 2024: 226
2023
[c33]
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Pranjal Chakraborty, Naser Ezzati-Jivan, Sayed Vahid Azhari, François Tetreault:
AltOOM: A Data-driven Out of Memory Root Cause Identification Strategy. IEEE Big Data 2023: 1637-1646
[c32]
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Issam Sedki, Abdelwahab Hamou-Lhadj, Otmane Aït Mohamed, Naser Ezzati-Jivan:
Towards a Classification of Log Parsing Errors. ICPC 2023: 84-88
[c31]
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  - conf/middleware/GuanNE23
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Yue Guan, Morteza Noferesti, Naser Ezzati-Jivan:
CNN-BiLSTM-Based Classification of RPL Attacks in IoT Smart Grid Networks (Industry Track). Middleware Industry 2023: 29-34
[c30]
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Mohammed Adib Khan, Morteza Noferesti, Naser Ezzati-Jivan:
PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events. SCAM 2023: 151-161
[c29]
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  - conf/sera/KhanE23
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Mohammed Adib Khan, Naser Ezzati-Jivan:
Multi-level Adaptive Execution Tracing for Efficient Performance Analysis. SERA 2023: 104-109
[c28]
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  - conf/trustcom/BhardwajNJE23
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Raghav Bhardwaj, Morteza Noferesti, Madeline Janecek, Naser Ezzati-Jivan:
EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences. TrustCom 2023: 1728-1737
[c27]
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Madeline Janecek, Sneh Patel, Naser Ezzati-Jivan:
Uncovering Steady State Executions in Java Microbenchmarking with Call Graph Analysis. ICPE (Companion) 2023: 71-75
[c26]
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Tom Wallace, Beatrice M. Ombuki-Berman, Naser Ezzati-Jivan:
Identification and Classification of JMH Microbenchmark States using Time Series Analysis. ICPE (Companion) 2023: 101-105
[c25]
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Amirmahdi Khosravi Tabrizi, Naser Ezzati-Jivan:
Software Mining - Investigating Correlation between Source Code Features and Michrobenchmark's Steady State. ICPE (Companion) 2023: 107-111
2022
[c24]
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  - conf/ic2e/VanDongeE22
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Riley VanDonge, Naser Ezzati-Jivan:
Poster Paper: Operating System Support for Applications Performance Analysis. IC2E 2022: 279-280
[c23]
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Madeline Janecek, Naser Ezzati-Jivan, Abdelwahab Hamou-Lhadj:
Performance anomaly detection through sequence alignment of system-level traces. ICPC 2022: 264-274
[c22]
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Yue Guan, Naser Ezzati-Jivan:
Deep learning driven anomaly based intrusion detection system for IoT: poster abstract. Middleware Demos/Posters 2022: 19-20
[c21]
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Riley VanDonge, Naser Ezzati-Jivan:
N-Lane Bridge Performance Antipattern Analysis Using System-Level Execution Tracing. SCAM 2022: 83-93
2021
[c20]
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Seyed Vahid Azhari, Simar Bhamra, Naser Ezzati-Jivan, François Tetreault:
Efficient heap monitoring tool for memory leak detection and root-cause analysis. IEEE BigData 2021: 3020-3030
[c19]
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Madeline Janecek, Naser Ezzati-Jivan, Seyed Vahid Azhari:
Container Workload Characterization Through Host System Tracing. IC2E 2021: 9-19
[c18]
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  - conf/isncc/DelisleED21
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Simon Delisle, Naser Ezzati-Jivan, Michel R. Dagenais:
Integrated modeling tool for indexing and analyzing state machine trace. ISNCC 2021: 1-8
[c17]
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  - conf/qrs/PatelPEF21
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Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier:
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs. QRS 2021: 422-433
[c16]
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  - conf/syscon/GiraldeauJD21
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Francis Giraldeau, Naser Ezzati-Jivan, Michel R. Dagenais:
System execution path profiling using hardware performance counters. SysCon 2021: 1-8
[c15]
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Yue Guan, Naser Ezzati-Jivan:
Malware System Calls Detection Using Hybrid System. SysCon 2021: 1-8
2020
[c14]
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  - conf/issre/RezazadehJGD20
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Majid Rezazadeh, Naser Ezzati-Jivan, Evan Galea, Michel R. Dagenais:
Multi-Level Execution Trace Based Lock Contention Analysis. ISSRE Workshops 2020: 177-182
[c13]
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  - conf/ithings/BationoJGD20
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Yves J. Bationo, Naser Ezzati-Jivan, Evan Galea, Michel R. Dagenais:
Cloud Platform Performance Evaluation Using Multi-level Execution Tracing. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 294-299
[c12]
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Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj:
DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing. SCAM 2020: 149-159
2019
[c11]
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  - conf/issre/FournierJAD19
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Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais:
Automatic Cause Detection of Performance Problems in Web Applications. ISSRE Workshops 2019: 398-405
2018
[c10]
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  - conf/iccel/BationoJD18
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Yves J. Bationo, Naser Ezzati-Jivan, Michel R. Dagenais:
Efficient cloud tracing: From very high level to very low level. ICCE 2018: 1-6
[c9]
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  - conf/syscon/JivanBD18
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Naser Ezzati-Jivan, Genevieve Bastien, Michel R. Dagenais:
High latency cause detection using multilevel dynamic analysis. SysCon 2018: 1-8
2017
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  - conf/hpec/DaoudJD17
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Houssem Daoud, Naser Ezzati-Jivan, Michel R. Dagenais:
Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications. HPEC 2017: 1-7
2016
[c7]
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  - conf/bigdata/Prieur-DrevonBJ16
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Loic Prieur-Drevon, Raphaël Beamonte, Naser Ezzati-Jivan, Michel R. Dagenais:
Enhanced State History Tree (eSHT): A Stateful Data Structure for Analysis of Highly Parallel System Traces. BigData Congress 2016: 83-90
[c6]
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Cédric Biancheri, Naser Ezzati-Jivan, Michel R. Dagenais:
Multilayer Virtualized Systems Analysis with Kernel Tracing. FiCloud Workshops 2016: 1-6
2015
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  - conf/bigdata/KouameJD15
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Kadjo Kouame, Naser Ezzati-Jivan, Michel R. Dagenais:
A Flexible Data-Driven Approach for Execution Trace Filtering. BigData Congress 2015: 698-703
2014
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Naser Ezzati-Jivan, Michel R. Dagenais:
Multiscale navigation in large trace data. CCECE 2014: 1-7
2013
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Naser Ezzati-Jivan, Alireza Shameli-Sendi, Michel R. Dagenais:
Multilevel label placement for execution trace events. CCECE 2013: 1-6
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  - conf/rv/MontplaisirJWD13
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Alexandre Montplaisir, Naser Ezzati-Jivan, Florian Wininger, Michel R. Dagenais:
Efficient Model to Query and Visualize the System States Extracted from Trace Data. RV 2013: 219-234
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  - conf/socialcom/Montplaisir-GoncalvesJWD13
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A. Montplaisir-Goncalves, Naser Ezzati-Jivan, Florian Wininger, Michel R. Dagenais:
State History Tree: An Incremental Disk-Based Data Structure for Very Large Interval Data. SocialCom 2013: 716-724

Informal and Other Publications

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2024
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  - journals/corr/abs-2405-16277
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Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami:
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge. CoRR abs/2405.16277 (2024)
2022
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Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier:
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs. CoRR abs/2207.06515 (2022)
2021
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  - journals/corr/abs-2103-04933
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Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj:
DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing. CoRR abs/2103.04933 (2021)
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  - journals/corr/abs-2103-04954
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Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais:
Automatic Cause Detection of Performance Problems in Web Applications. CoRR abs/2103.04954 (2021)

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