Titlebook: High Performance Computing; ISC High Performance Heike Jagode,Hartwig Anzt,Hatem Ltaief Conference proceedings 2020 Springer Nature Switzer

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Characterizing I/O Optimization Effect Through Holistic Log Data Analysis of Parallel File Systems a the HPC systems provide performance tuning tools on compute nodes, there is not enough chance to tune I/O activities on parallel file systems including high-speed interconnects among compute nodes and file systems. We propose an I/O performance optimization framework using log data of parallel file

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The Importance of Temporal Behavior When Classifying Job IO Patterns Using Machine Learning Techniqurove the infrastructure, for instance, by optimizing jobs or by determining guidelines for the next procurement. The classification of jobs into groups that express similar run-time behavior aids this analysis as it reduces the number of representative jobs to look into. It is state of the practice

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SmartPred: Unsupervised Hard Disk Failure Detectiondministration in today’s data centers is growing permanently. Integrated techniques for monitoring hard disks can increase the reliability of storage systems. However, these techniques often lack intelligent data analysis to perform predictive maintenance. To solve this problem, machine learning alg

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