Papers from THREADS Lab, most recent first. Each title links to a detailed record with a technical summary, keywords, identifiers, authoritative source links, and copyable citation formats.
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Adaptive Scheduling
Anomaly Detection
Architecture Aware Methods
Benchmark Datasets
Common Sense Reasoning
Deep Learning Systems
Dependency Graphs
Energy Efficiency
Gradient Boosting
Graph Neural Networks
IoT Security
Kernel Tracing
Knowledge Graphs
Latency Analysis
LLM-Assisted Analysis
LLM Efficiency
LLM Evaluation
LTTng
Machine Learning
Microservices
Model Compression
Multicore Systems
Multimodal AI
Observability
Performance Analysis
Performance Engineering
Performance Modeling
Performance Optimization
Predictive Monitoring
Resource Analysis
Responsible AI
Root-Cause Analysis
Social Network Analysis
System Tracing
Trace Abstraction
Trace Analysis
Trace Filtering
Trace Reduction
Trace Visualization
Web Performance
All publications
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2026
- B-Perf: Black-box Performance Antipattern Detection Using System-level Execution Tracing
- CARE: Context Aware Root Cause Identification Using Distributed Traces and Profiling Metrics
- DTraComp: Comparing distributed execution traces for understanding intermittent latency sources
- LMAT: An adaptive tracing approach based on efficient system behavior analysis using language models
- Observability and Runtime Governance for Agentic AI Systems
- Rethinking Performance Debugging: From Optimization to Collaborative Reasoning
- TAAF: A Trace Abstraction and Analysis Framework Synergizing Knowledge Graphs and LLMs
- TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion Models
2025
- AI Video Retrieval: A Semantic Search & Timestamp Alignment System
- Developing a Taxonomy for Advanced Log Parsing Techniques
- Efficient Detection of Communication-related Performance Anti-patterns in Microservices
- Energy Consumption Analysis of Large Language Models Across CPU and GPU Using Diverse Metric Types
- Execution Trace Reconstruction Using Diffusion-Based Generative Models
- HybridRCA: Lightweight Critical-Path-Aware Hybrid Tracing for Root-Cause Analysis in Production Microservices
- Multi-Dimensional Bias Analysis in LLMs Using Hierarchical and Interaction Models
- One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA
- Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models
- SynthLogAI: Generative AI for Synthetic Linux Log Generation and Evaluation
- Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures
2024
- A Two-Tiered Framework for Anomaly Classification in IoT Networks Utilizing CNN-BiLSTM Model
- An Adaptive Logging System (ALS): Enhancing Software Logging with Reinforcement Learning Techniques
- Analyzing Performance Variability in Alibaba’s Microservice Architecture: A Critical-Path-Based Perspective
- Assessing Predictive Models for Energy Consumption Across Varied Software Environments
- Automatic Reduction of Execution Trace Data Volume Using Gradient Boosting in Large-Scale Microservice Systems
- Context-aware Root Cause Localization in Distributed Traces Using Social Network Analysis (Work In Progress paper)
- Decoding Log Parsing Challenges: A Comprehensive Taxonomy for Actionable Solutions
- Efficient Unsupervised Latency Culprit Ranking in Distributed Traces with GNN and Critical Path Analysis
- Enhancing empirical software performance engineering research with kernel-level events: A comprehensive system tracing approach
- MemAdapt: Adaptive Monitoring of Memory Usage Through Irregularly Sampled Data
- Network Analysis of Microservices: A Case Study on Alibaba Production Clusters
- Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge
- Resource Life-Cycle Aware Noise Detection via Kernel Event Monitoring
- Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models
2023
- AltOOM: A Data-driven Out of Memory Root Cause Identification Strategy
- CNN-BiLSTM-Based Classification of RPL Attacks in IoT Smart Grid Networks (Industry Track)
- EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences
- Identification and Classification of JMH Microbenchmark States using Time Series Analysis
- Multi-level Adaptive Execution Tracing for Efficient Performance Analysis
- PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events
- Software Mining - Investigating Correlation between Source Code Features and Michrobenchmark’s Steady State
- Towards a Classification of Log Parsing Errors
- Uncovering Steady State Executions in Java Microbenchmarking with Call Graph Analysis
2022
- Deep Learning Driven Anomaly Based Intrusion Detection System for IoT: Poster Abstract
- Execution trace-based model verification to analyze multicore and real-time systems
- N-Lane Bridge Performance Antipattern Analysis Using System-Level Execution Tracing
- Performance Anomaly Detection through Sequence Alignment of System-Level Traces
- Performance Evaluation of Complex Multi-Thread Applications Through Execution Path Analysis
- Poster Paper: Operating System Support for Applications Performance Analysis
2021
- Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs
- Automated Generation of Model-Based Constraints for Common Multi-core and Real-Time Applications Using Execution Tracing
- Combining Distributed and Kernel Tracing for Performance Analysis of Cloud Applications
- Container Workload Characterization Through Host System Tracing
- Debugging of Performance Degradation in Distributed Requests Handling Using Multilevel Trace Analysis
- Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization
- Efficient Heap Monitoring Tool for Memory Leak Detection and Root-cause Analysis
- Integrated Modeling Tool for Indexing and Analyzing State Machine Trace
- Malware System Calls Detection Using Hybrid System
- System Execution Path Profiling Using Hardware Performance Counters
- The Use of Anomaly Detection for the Detection of Different Types of DDoS Attacks in Cloud Environment
2020
- Cloud Platform Performance Evaluation Using Multi-level Execution Tracing
- DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing
- Enhanced Execution Trace Abstraction Approach Using Social Network Analysis Methods
- Multi-Level Execution Trace Based Lock Contention Analysis
- Multi-level Host-based Intrusion Detection System for Internet of Things
2019
- Automatic Cause Detection of Performance Problems in Web Applications
- Efficient Large-Scale Heterogeneous Debugging Using Dynamic Tracing
- Efficient Methods for Trace Analysis Parallelization
- Machine Learning-Based EDoS Attack Detection Technique Using Execution Trace Analysis
2018
- Efficient cloud tracing: From very high level to very low level
- High latency cause detection using multilevel dynamic analysis
2017
- A declarative framework for stateful analysis of execution traces
- Dynamic trace-based sampling algorithm for memory usage tracking of enterprise applications
- Hardware-assisted software event tracing
- Multi-scale navigation of large trace data: A survey
2016
- Enhanced State History Tree (eSHT): A Stateful Data Structure for Analysis of Highly Parallel System Traces
- Multilayer Virtualized Systems Analysis with Kernel Tracing
2015
- A Flexible Data-Driven Approach for Execution Trace Filtering
- Cube data model for multilevel statistics computation of live execution traces
2014
2013
- A framework to compute statistics of system parameters from very large trace files
- Efficient Model to Query and Visualize the System States Extracted from Trace Data
- Multilevel Label Placement for Execution Trace Events
- State History Tree: An Incremental Disk-Based Data Structure for Very Large Interval Data
2012
- A Stateful Approach to Generate Synthetic Events from Kernel Traces
- An Efficient Analysis Approach for Multi-Core System Tracing Data
- Intrusion Response Systems: Survey and Taxonomy