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[PDF][PDF] Toward exascale resilience: 2014 update
Resilience is a major roadblock for HPC executions on future exascale systems. These
systems will typically gather millions of CPU cores running up to a billion threads …
systems will typically gather millions of CPU cores running up to a billion threads …
IT infrastructure anomaly detection and failure handling: A systematic literature review focusing on datasets, log preprocessing, machine & deep learning approaches …
Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability
of any element or connection results in downtime and triggers monetary and performance …
of any element or connection results in downtime and triggers monetary and performance …
Desh: deep learning for system health prediction of lead times to failure in hpc
Today's large-scale supercomputers encounter faults on a daily basis. Exascale systems are
likely to experience even higher fault rates due to increased component count and density …
likely to experience even higher fault rates due to increased component count and density …
Doomsday: Predicting which node will fail when on supercomputers
Predicting which node will fail and how soon remains a challenge for HPC resilience, yet
may pave the way to exploiting proactive remedies before jobs fail. Not only for increasing …
may pave the way to exploiting proactive remedies before jobs fail. Not only for increasing …
Aarohi: Making real-time node failure prediction feasible
Large-scale production systems are well known to encounter node failures, which affect
compute capacity and energy. Both in HPC systems and enterprise data centers, combating …
compute capacity and energy. Both in HPC systems and enterprise data centers, combating …
Exploit both {SMART} Attributes and {NAND} Flash Wear Characteristics to Effectively Forecast {SSD-based} Storage Failures in Clusters
Solid State Drives (SSDs) based on flash technology are extensively employed as high-
performance storage solutions in supercomputing data centers. However, SSD failures are …
performance storage solutions in supercomputing data centers. However, SSD failures are …
Time machine: Generative real-time model for failure (and lead time) prediction in hpc systems
High Performance Computing (HPC) systems generate a large amount of unstructured/
alphanumeric log messages that capture the health state of their components. Due to their …
alphanumeric log messages that capture the health state of their components. Due to their …
[Retracted] Classification and Prediction of Software Incidents Using Machine Learning Techniques
An incident, in the perception of information technology, is an event that is not part of a
normal process and disrupts operational procedure. This research work particularly focuses …
normal process and disrupts operational procedure. This research work particularly focuses …
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems
System failures are expected to be frequent in the exascale era such as current Petascale
systems. The health of such systems is usually determined from challenging analysis of …
systems. The health of such systems is usually determined from challenging analysis of …
Workload analysis of blue waters
MD Jones, JP White, M Innus, RL DeLeon… - arxiv preprint arxiv …, 2017 - arxiv.org
Blue Waters is a Petascale-level supercomputer whose mission is to enable the national
scientific and research community to solve" grand challenge" problems that are orders of …
scientific and research community to solve" grand challenge" problems that are orders of …