[HTML][HTML] Deep transfer learning for failure prediction across failure types
Z Li, E Kristoffersen, J Li - Computers & Industrial Engineering, 2022 - Elsevier
With the increasing development of artificial intelligence (AI) technologies, deep learning-
driven approaches have been widely applied to predicate different machinery failures. One …
driven approaches have been widely applied to predicate different machinery failures. One …
Minority disk failure prediction based on transfer learning in large data centers of heterogeneous disk systems
The storage system in large scale data centers is typically built upon thousands or even
millions of disks, where disk failures constantly happen. A disk failure could lead to serious …
millions of disks, where disk failures constantly happen. A disk failure could lead to serious …
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 …
{HDDse}: Enabling {High-Dimensional} Disk State Embedding for Generic Failure Detection System of Heterogeneous Disks in Large Data Centers
The reliability of a storage system is crucial in large data centers. Hard disks are widely used
as primary storage devices in modern data centers, where disk failures constantly happen …
as primary storage devices in modern data centers, where disk failures constantly happen …
A disk failure prediction method based on active semi-supervised learning
Y Zhou, F Wang, D Feng - ACM Transactions on Storage, 2022 - dl.acm.org
Disk failure has always been a major problem for data centers, leading to data loss. Current
disk failure prediction approaches are mostly offline and assume that the disk labels …
disk failure prediction approaches are mostly offline and assume that the disk labels …
Optimizing Efficiency of Machine Learning Based Hard Disk Failure Prediction by Two-Layer Classification-Based Feature Selection
Predicting hard disk failure effectively and efficiently can prevent the high costs of data loss
for data storage systems. Disk failure prediction based on machine learning and artificial …
for data storage systems. Disk failure prediction based on machine learning and artificial …
StreamDFP: a general stream mining framework for adaptive disk failure prediction
We explore machine learning for accurately predicting imminent disk failures and hence
providing proactive fault tolerance for modern large-scale storage systems. Current disk …
providing proactive fault tolerance for modern large-scale storage systems. Current disk …
Asldp: An active semi-supervised learning method for disk failure prediction
Y Zhou, F Wang, D Feng - … of the 50th International Conference on …, 2021 - dl.acm.org
Disk failure has always been a major problem for data centers, leading to data loss. Current
research works used supervised learning to offline training through a large number of …
research works used supervised learning to offline training through a large number of …
A Hierarchical Modeling Approach for Assessing the Reliability and Performability of Burst Buffers
E Borba, R Salkhordeh, S Mimouni, E Tavares… - … on Architecture of …, 2024 - Springer
High availability is a crucial aspect of High-Performance Computing. Solid-state drives
(SSD) offer peak bandwidth as node-local burst buffers. The limited write endurance of …
(SSD) offer peak bandwidth as node-local burst buffers. The limited write endurance of …
Content sifting storage: Achieving fast read for large-scale image dataset analysis
Analyzing large-scale image dataset requires all images to be read from disks first, leading
to high read latency. Therefore, we propose a Content Sifting Storage (CSS) system, which …
to high read latency. Therefore, we propose a Content Sifting Storage (CSS) system, which …