Yang Yang1,*, Jing Dong1, Chao Fang2, Ping Xie3, Na An3
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1015-1031, 2020, DOI:10.32604/cmes.2020.09404
Abstract The development of cloud computing and virtualization technology has
brought great challenges to the reliability of data center services. Data centers
typically contain a large number of compute and storage nodes which may fail
and affect the quality of service. Failure prediction is an important means of
ensuring service availability. Predicting node failure in cloud-based data centers
is challenging because the failure symptoms reflected have complex characteristics, and the distribution imbalance between the failure sample and the normal
sample is widespread, resulting in inaccurate failure prediction. Targeting these
challenges, this paper proposes a novel failure prediction method FP-STE (Failure
Prediction… More >
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