
FP-STE: A Novel Node Failure Prediction Method Based on Spatio-Temporal Feature Extraction in Data Centers
Author(s) -
Yang Yang,
Jing Dong,
Fang Lin Chao,
Ping Xie,
Na An
Publication year - 2020
Publication title -
computer modeling in engineering and sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 60
eISSN - 1526-1506
pISSN - 1526-1492
DOI - 10.32604/cmes.2020.09404
Subject(s) - computer science , oversampling , node (physics) , convolutional neural network , reliability (semiconductor) , cloud computing , data mining , feature extraction , artificial neural network , artificial intelligence , sample (material) , multivariate statistics , feature (linguistics) , machine learning , engineering , computer network , power (physics) , chemistry , physics , structural engineering , bandwidth (computing) , chromatography , quantum mechanics , operating system , linguistics , philosophy