Topic
kernel-tracing
Research topic kernel-tracing: 34 papers by Naser Ezzati-Jivan, with summaries, citations, and source links.
- B-Perf: Black-box Performance Antipattern Detection Using System-level Execution Tracing (2026)
- LMAT: An adaptive tracing approach based on efficient system behavior analysis using language models (2026)
- TAAF: A Trace Abstraction and Analysis Framework Synergizing Knowledge Graphs and LLMs (2026)
- TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion Models (2026)
- Execution Trace Reconstruction Using Diffusion-Based Generative Models (2025)
- Enhancing empirical software performance engineering research with kernel-level events: A comprehensive system tracing approach (2024)
- Resource Life-Cycle Aware Noise Detection via Kernel Event Monitoring (2024)
- Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models (2024)
- Multi-level Adaptive Execution Tracing for Efficient Performance Analysis (2023)
- PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events (2023)
- Execution trace-based model verification to analyze multicore and real-time systems (2022)
- N-Lane Bridge Performance Antipattern Analysis Using System-Level Execution Tracing (2022)
- Poster Paper: Operating System Support for Applications Performance Analysis (2022)
- Combining Distributed and Kernel Tracing for Performance Analysis of Cloud Applications (2021)
- Container Workload Characterization Through Host System Tracing (2021)
- Malware System Calls Detection Using Hybrid System (2021)
- DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing (2020)
- Enhanced Execution Trace Abstraction Approach Using Social Network Analysis Methods (2020)
- Multi-Level Execution Trace Based Lock Contention Analysis (2020)
- Multi-level Host-based Intrusion Detection System for Internet of Things (2020)
- Automatic Cause Detection of Performance Problems in Web Applications (2019)
- Machine Learning-Based EDoS Attack Detection Technique Using Execution Trace Analysis (2019)
- Efficient Cloud Tracing: From Very High Level to Very Low Level (2018)
- Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications (2017)
- Hardware-Assisted Software Event Tracing (2017)
- Multi-scale Navigation of Large Trace Data: A Survey (2017)
- Enhanced State History Tree (eSHT): A Stateful Data Structure for Analysis of Highly Parallel System Traces (2016)
- Multilayer Virtualized Systems Analysis with Kernel Tracing (2016)
- A Flexible Data-Driven Approach for Execution Trace Filtering (2015)
- Cube Data Model for Multilevel Statistics Computation of Live Execution Traces (2015)
- A Framework to Compute Statistics of System Parameters from Very Large Trace Files (2013)
- State History Tree: An Incremental Disk-Based Data Structure for Very Large Interval Data (2013)
- A Stateful Approach to Generate Synthetic Events from Kernel Traces (2012)
- An Efficient Analysis Approach for Multi-Core System Tracing Data (2012)