Naser Ezzati-Jivan

Orcid: 0000-0003-1435-6297

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


According to our database1, Naser Ezzati-Jivan authored at least 49 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Identification and Classification of JMH Microbenchmark States using Time Series Analysis.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Software Mining - Investigating Correlation between Source Code Features and Michrobenchmark's Steady State.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Uncovering Steady State Executions in Java Microbenchmarking with Call Graph Analysis.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Multi-level Adaptive Execution Tracing for Efficient Performance Analysis.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events.
Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

CNN-BiLSTM-Based Classification of RPL Attacks in IoT Smart Grid Networks (Industry Track).
Proceedings of the 24th International Middleware Conference Industrial Track, 2023

Towards a Classification of Log Parsing Errors.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

AltOOM: A Data-driven Out of Memory Root Cause Identification Strategy.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Performance evaluation of complex multi-thread applications through execution path analysis.
Perform. Evaluation, 2022

Execution trace-based model verification to analyze multicore and real-time systems.
Concurr. Comput. Pract. Exp., 2022

N-Lane Bridge Performance Antipattern Analysis Using System-Level Execution Tracing.
Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

Deep learning driven anomaly based intrusion detection system for IoT: poster abstract.
Proceedings of the 23rd International Middleware Conference: Demos and Posters, 2022

Performance anomaly detection through sequence alignment of system-level traces.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Poster Paper: Operating System Support for Applications Performance Analysis.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

2021
Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization.
Sensors, 2021

The Use of Anomaly Detection for the Detection of Different Types of DDoS Attacks in Cloud Environment.
J. Hardw. Syst. Secur., 2021

Automated Generation of Model-Based Constraints for Common Multi-core and Real-Time Applications Using Execution Tracing.
Int. J. Parallel Program., 2021

Malware System Calls Detection Using Hybrid System.
Proceedings of the IEEE International Systems Conference, 2021

System execution path profiling using hardware performance counters.
Proceedings of the IEEE International Systems Conference, 2021

Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Integrated modeling tool for indexing and analyzing state machine trace.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Container Workload Characterization Through Host System Tracing.
Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Efficient heap monitoring tool for memory leak detection and root-cause analysis.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Enhanced execution trace abstraction approach using social network analysis methods.
Softwaretechnik-Trends, 2020

Multi-level host-based intrusion detection system for Internet of things.
J. Cloud Comput., 2020

DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing.
Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

Cloud Platform Performance Evaluation Using Multi-level Execution Tracing.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Multi-Level Execution Trace Based Lock Contention Analysis.
Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

2019
Efficient large-scale heterogeneous debugging using dynamic tracing.
J. Syst. Archit., 2019

Machine Learning-Based EDoS Attack Detection Technique Using Execution Trace Analysis.
J. Hardw. Syst. Secur., 2019

Efficient Methods for Trace Analysis Parallelization.
Int. J. Parallel Program., 2019

Automatic Cause Detection of Performance Problems in Web Applications.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

2018
High latency cause detection using multilevel dynamic analysis.
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018

Efficient cloud tracing: From very high level to very low level.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

2017
A declarative framework for stateful analysis of execution traces.
Softw. Qual. J., 2017

Hardware-assisted software event tracing.
Concurr. Comput. Pract. Exp., 2017

Multi-scale navigation of large trace data: A survey.
Concurr. Comput. Pract. Exp., 2017

Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2016
Multilayer Virtualized Systems Analysis with Kernel Tracing.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud Workshops, 2016

Enhanced State History Tree (eSHT): A Stateful Data Structure for Analysis of Highly Parallel System Traces.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015
Cube data model for multilevel statistics computation of live execution traces.
Concurr. Comput. Pract. Exp., 2015

A Flexible Data-Driven Approach for Execution Trace Filtering.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
Multiscale navigation in large trace data.
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014

2013
A framework to compute statistics of system parameters from very large trace files.
ACM SIGOPS Oper. Syst. Rev., 2013

State History Tree: An Incremental Disk-Based Data Structure for Very Large Interval Data.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Efficient Model to Query and Visualize the System States Extracted from Trace Data.
Proceedings of the Runtime Verification - 4th International Conference, 2013

Multilevel label placement for execution trace events.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012
A Stateful Approach to Generate Synthetic Events from Kernel Traces.
Adv. Softw. Eng., 2012

2010
A Reliable and Efficient Time Synchronization Protocol for Heterogeneous Wireless Sensor Network.
Wirel. Sens. Netw., 2010


  Loading...