- Fast and efficient log file compression
- Dynamic Syslog Mining for Network Failure Monitoring
- Exploring Void Search for Fault Detection on Extreme Scale Systems
- LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
- PADLA: A Dynamic Log Level Adapter Using Online Phase Detection
- Length Matters: Clustering System Log Messages using Length of Words
- Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
- A Directed Acyclic Graph Approach to Online Log Parsing
- Tools and Benchmarks for Automated Log Parsing
- HowBad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform
- Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
- Logram: Efficient Log Parsing Using n-Gram Dictionaries
- A Survey on Automated Log Analysis for Reliability Engineering
- Log Engineering: Towards Systematic Log Mining to Support the Development of Ultra-large Scale Systems
- Experience Report: Anomaly Detection of Cloud Application Operations Using Log and Cloud Metric Correlation Analysis
- Robust Log-Based Anomaly Detection on Unstable Log Data
- A Systematic Literature Review on Automated Log Abstraction Techniques
- The Game of Twenty Questions: Do You Know Where to Log?
- Desh: Deep Learning for System Health Prediction of Lead Times to Failure in HPC
- Industry Practices and Event Logging: Assessment of a Critical Software Development Process
- LogCluster - A Data Clustering and Pattern Mining Algorithm for Event Logs
- Proactive Failure Detection Learning Generation Patterns of Large-scale Network Logs
- Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs
- Statistical Log Differencing
- SherLog: Error Diagnosis by Connecting Clues from Run-time Logs
- Improving Software Diagnosability via Log Enhancement
- Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
- CloudSeer: Workflow Monitoring of Cloud Infrastructures via Interleaved Logs
- Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
- Troubleshooting Transiently-Recurring Errors in Production Systems with Blame-Proportional Logging
- NanoLog: A Nanosecond Scale Logging System
- AVA: automated interpretation of dynamically detected anomalies
- Digging Deeper into Cluster System Logs for Failure Prediction and Root Cause Diagnosis
- Adaptive Log Compression for Massive Log Data
- Critical Event Prediction for Proactive Management in Largescale Computer Clusters
- Inferring Models of Concurrent Systems from Logs of Their Behavior with CSight
- DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning
- Sub-atomic field processing for improved web log compression
- Diagnosing the root-causes of failures from cluster log files
- Failure Diagnosis of Complex Systems
- Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
- Failure Prediction in IBM BlueGene/L Event Logs
- Reading between the lines of failure logs: Understanding how HPC systems fail
- Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
- Analyzing Log Analysis: An Empirical Study of User Log Mining
- Large-Scale System Problems Detection by Mining Console Logs
- Studying the relationship between logging characteristics and the code quality of platform software
- Examining the stability of logging statements
- Characterizing logging practices in Java-based open source software projects – a replication study in Apache Software Foundation
- An exploratory study on assessing the energy impact of logging on Android applications
- Studying and Detecting Log-Related Issues
- Latent Error Prediction and Fault Localization for Microservice Applications by Learning from System Trace Logs
- Leveraging Existing Instrumentation to Automatically Infer Invariant-Constrained Models
- Identifying Impactful Service System Problems via Log Analysis
- A Search-based Approach for Accurate Identification of Log Message Formats
- An Approach to Detecting Duplicate Bug Reports using Natural Language and Execution Information
- Assisting Developers of Big Data Analytics Applications When Deploying on Hadoop Clouds
- An Industrial Case Study of Customizing Operational Profiles Using Log Compression
- LogLens: A Real-time Log Analysis System
- Log Clustering based Problem Identification for Online Service Systems
- Characterizing and Detecting Anti-patterns in the Logging Code
- DLFinder: Characterizing and Detecting Duplicate Logging Code Smells
- Studying the Use of Java Logging Utilities in the Wild
- The Bones of the System: A Case Study of Logging and Telemetry at Microsoft
- Understanding Log Lines Using Development Knowledge
- Log-based Abnormal Task Detection and Root Cause Analysis for Spark
- Operational Log Analysis for Big Data Systems: Challenges and Solutions
- Incremental Learning of System Log Formats
- Aarohi: Making Real-Time Node Failure Prediction Feasible
- Understanding Customer Problem Troubleshooting from Storage System Logs
- Learning to Log: Helping Developers Make Informed Logging Decisions
- Clustering Event Logs Using Iterative Partitioning
- Aspect-Oriented Programming
- A Study of the Performance of General Compressors on Log Files
- Carousel: Scalable Logging for Intrusion Prevention Systems
- Characterizing Logging Practices in Open-Source Software
- Log20: Fully Automated Optimal Placement of Log Printing Statements under Specified Overhead Threshold
- Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network
- Using Finite-State Models for Log Differencing
- LogMine: Fast Pattern Recognition for Log Analytics
- Mining Invariants from Console Logs for System Problem Detection
- Logging Library Migrations: A Case Study for the Apache Software Foundation Projects
- Assessing and Improving the Effectiveness of Logs for the Analysis of Software Faults
- Predicting Node Failure in Cloud Service Systems
- Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems
- Be Conservative: Enhancing Failure Diagnosis with Proactive Logging
- Non-intrusive Performance Profiling for Entire Software Stacks based on the Flow Reconstruction Principle
- The FuzzyLog: A Partially Ordered Shared Log
- Using semantic knowledge to improve compression on log files
- A Semantic-aware Representation Framework for Online Log Analysis
- Drain: An Online Log Parsing Approach with Fixed Depth Tree
- Abstracting Execution Logs to Execution Events for Enterprise Applications (Short Paper)
- Mining Program Workflow from Interleaved Traces
- Behavioral Log Analysis with Statistical Guarantees
- A Data Clustering Algorithm for Mining Patterns From Event Logs
- Spell: Online Streaming Parsing of Large Unstructured System Logs
- A Lightweight Algorithm for Message Type Extraction in System Application Logs
- Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study
- Which Variables Should I Log?
- Where Do Developers Log? An Empirical Study on Logging Practices in Industry
- Outage Prediction and Diagnosis for Cloud Service Systems
- LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling
- Online System Problem Detection by Mining Patterns of Console Logs
- PreFix: Switch Failure Prediction in Datacenter Networks
- Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks
- An Experience Report of Generating Load Tests Using Log-Recovered Workloads at Varying Granularities of User Behaviour
- What Logs Should You Look at When an Application Fails? Insights from an Industrial Case Study
- Root Cause Analysis with Enriched Process Logs
- SCMiner: Localizing System-Level Concurrency Faults from Large System Call Traces