DNA as a universal chemical substrate for computing and data storage
DNA computing and DNA data storage are emerging fields that are unlocking new
possibilities in information technology and diagnostics. These approaches use DNA …
possibilities in information technology and diagnostics. These approaches use DNA …
DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access
DNA has emerged as an attractive medium for archival data storage due to its durability and
high information density. Scalable parallel random access to information is a desirable …
high information density. Scalable parallel random access to information is a desirable …
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 …
Self-optimised cost-sensitive classifiers for early field failure prediction in storage systems
M Bader-El-Den, T Perry - Swarm and Evolutionary Computation, 2023 - Elsevier
Data storage systems such as disk arrays go through rigorous testing in the production
phase, however, a few of these DAs fail in the field and are returned back to the …
phase, however, a few of these DAs fail in the field and are returned back to the …
A locally weighted multi-domain collaborative adaptation for failure prediction in SSDs
J Gu, Y Wang, TWS Chow, M Zhang, W Lu - Knowledge-Based Systems, 2023 - Elsevier
Recently, domain adaptation methods are widely applied to intelligent failure prediction to
solve the problem of lack of labeled data for newly designed equipment. Generally, domain …
solve the problem of lack of labeled data for newly designed equipment. Generally, domain …
Multi-instance adversarial learning domain adaptation network for failure prediction of unlabeled solid-state drives
J Gu, Y Wang, G Wang - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Recently, with the large-scale application of solid-state drives (SSDs), the failure of SSDs
has become the main reliability issue in data centers. SSD manufacturers developed self …
has become the main reliability issue in data centers. SSD manufacturers developed self …
Proactive drive failure prediction for cloud storage system through semi-supervised learning
H Zhou, Z Niu, G Wang, X Liu, D Liu… - … on Dependable and …, 2023 - ieeexplore.ieee.org
Proactive drive failure prediction can help operators handle the failing drives in advance,
enhancing the storage system dependability. SSD and HDD failure prediction techniques …
enhancing the storage system dependability. SSD and HDD failure prediction techniques …
Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study
GPU memory corruption and in particular double-bit errors (DBEs) remain one of the least
understood aspects of HPC system reliability. Albeit rare, their occurrences always lead to …
understood aspects of HPC system reliability. Albeit rare, their occurrences always lead to …
SSRAID: A Stripe-Queued and Stripe-Threaded Merging I/O Strategy to Improve Write Performance of Serial Interface SSD RAID
P Li, P Xie, Q Cao - IEEE Transactions on Parallel and …, 2024 - ieeexplore.ieee.org
RAID (Redundant Array of Independent Disks) has been widely used to enhance read and
write performance of existing storage systems. Existing software RAID do not fully utilize …
write performance of existing storage systems. Existing software RAID do not fully utilize …
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data
A Schmedding, R Pinciroli, L Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We present an individual-centric model for COVID-19 spread in an urban setting. We first
analyze patient and route data of infected patients from January 20, 2020, to May 31, 2020 …
analyze patient and route data of infected patients from January 20, 2020, to May 31, 2020 …