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Fault prediction under the microscope: A closer look into HPC systems

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-03915-7_26openalex-snapshot
Mining Frequent Gradual Itemsets from Large Databases
inferredcites →https://doi.org/10.1007/978-3-642-12026-8_8openalex-snapshot
PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns
inferredcites →https://doi.org/10.1007/978-3-642-23400-2_6openalex-snapshot
Event Log Mining Tool for Large Scale HPC Systems
inferredcites →https://doi.org/10.1016/j.scico.2004.01.010openalex-snapshot
A survey of fault localization techniques in computer networks
inferredcites →https://doi.org/10.1080/01621459.1964.10480740openalex-snapshot
An Extended Table of Critical Values for the Mann-Whitney (Wilcoxon) Two-Sample Statistic
inferredcites →https://doi.org/10.1109/12.54845openalex-snapshot
Automatic recognition of intermittent failures: an experimental study of field data
inferredcites →https://doi.org/10.1109/ares.2009.105openalex-snapshot
Blue Gene/L Log Analysis and Time to Interrupt Estimation
inferredcites →https://doi.org/10.1109/clustr.2004.1392606openalex-snapshot
FTC-Charm++: an in-memory checkpoint-based fault tolerant runtime for Charm++ and MPI
inferredcites →https://doi.org/10.1109/dsn.2006.18openalex-snapshot
BlueGene/L Failure Analysis and Prediction Models
inferredcites →https://doi.org/10.1109/dsn.2006.5openalex-snapshot
A large-scale study of failures in high-performance computing systems
inferredcites →https://doi.org/10.1109/dsn.2007.103openalex-snapshot
What Supercomputers Say: A Study of Five System Logs
inferredcites →https://doi.org/10.1109/dsn.2009.5270289openalex-snapshot
System log pre-processing to improve failure prediction
inferredcites →https://doi.org/10.1109/dsn.2011.5958210openalex-snapshot
Improving Log-based Field Failure Data Analysis of multi-node computing systems
inferredcites →https://doi.org/10.1109/dsnw.2010.5542627openalex-snapshot
A practical failure prediction with location and lead time for Blue Gene/P
inferredcites →https://doi.org/10.1109/grid.2010.5697961openalex-snapshot
Analysis and modeling of time-correlated failures in large-scale distributed systems
inferredcites →https://doi.org/10.1109/icdm.2009.19openalex-snapshot
Online System Problem Detection by Mining Patterns of Console Logs
inferredcites →https://doi.org/10.1109/icpp.2008.17openalex-snapshot
Dynamic Meta-Learning for Failure Prediction in Large-Scale Systems: A Case Study
inferredcites →https://doi.org/10.1109/icpp.2010.26openalex-snapshot
Checkpointing vs. Migration for Post-Petascale Supercomputers
inferredcites →https://doi.org/10.1109/ipdps.2011.310openalex-snapshot
Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs
inferredcites →https://doi.org/10.1109/ipdps.2012.107openalex-snapshot
Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems
inferredcites →https://doi.org/10.1109/sc.2008.5222634openalex-snapshot
Proactive process-level live migration in HPC environments
inferredcites →https://doi.org/10.1109/sc.2010.18openalex-snapshot
Design, Modeling, and Evaluation of a Scalable Multi-level Checkpointing System
inferredcites →https://doi.org/10.1145/1740390.1740411openalex-snapshot
Mining dependency in distributed systems through unstructured logs analysis
inferredcites →https://doi.org/10.1145/2024723.2000083openalex-snapshot
Rebound
inferredcites →https://doi.org/10.1145/2038633.2038637openalex-snapshot
Adaptive event prediction strategy with dynamic time window for large-scale HPC systems
inferredcites →https://doi.org/10.1145/956750.956799openalex-snapshot
Critical event prediction for proactive management in large-scale computer clusters
inferredcites →https://doi.org/10.48550/arxiv.1003.0951openalex-snapshot
LogMaster: Mining Event Correlations in Logs of Large scale Cluster Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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DDC: Distributed Data Collection Framework for Failure Prediction in Tianhe Supercomputers
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Optimizing the Overheads for Uncoordinated Proactive Checkpointing
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Diagnosing Performance Variations in HPC Applications Using Machine Learning
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Holistic Processing and Exploring Event Logs
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Failure Analysis and Modeling in Large Multi-site Infrastructures
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Optimizing the fault-tolerance overheads of HPC systems using prediction and multiple proactive actions
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HAMS: an AI-driven framework for real-time failure detection in HPC system logs
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A Large-Scale Study of Failures on Petascale Supercomputers
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Deep learning-based prediction of major page faults in cluster systems
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The RECIPE approach to challenges in deeply heterogeneous high performance systems
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Bibliometric survey of IT Infrastructure Management to Avoid Failure Conditions
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IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool
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A Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systems
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Characterizing Accuracy-Aware Resilience of GPGPU Applications
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Automatic Analysis of Large Data Sets: A Walk-Through on Methods from Different Perspectives
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Exploring void search for fault detection on extreme scale systems
inferred← citeshttps://doi.org/10.1109/cluster.2017.113openalex-snapshot
Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale
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Assuming Failure Independence: Are We Right to be Wrong?
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Online characterization of buggy applications running on the cloud
inferred← citeshttps://doi.org/10.1109/dft.2018.8602983openalex-snapshot
Physics-Informed Machine Learning for DRAM Error Modeling
inferred← citeshttps://doi.org/10.1109/dsd.2019.00068openalex-snapshot
Challenges in Deeply Heterogeneous High Performance Systems
inferred← citeshttps://doi.org/10.1109/dsn.2014.62openalex-snapshot
Lessons Learned from the Analysis of System Failures at Petascale: The Case of Blue Waters
inferred← citeshttps://doi.org/10.1109/dsn.2015.52openalex-snapshot
Understanding and Exploiting Spatial Properties of System Failures on Extreme-Scale HPC Systems
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A Comprehensive Informative Metric for Analyzing HPC System Status Using the LogSCAN Platform
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CPU Overheating Characterization in HPC Systems: A Case Study
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A large-scale study of soft-errors on GPUs in the field
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Apprentissage machine appliqué à l'analyse et à la prédiction des défaillances dans les systèmes HPC
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Resilient and energy-efficient scheduling algorithms at scale
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Combining checkpointing and other resilience mechanisms for exascale systems
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