Log Analysis Papers

• 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