Cloud server aging prediction method based on hybrid model of auto-regressive integrated moving average and recurrent neural network

Cloud server aging prediction method based on hybrid model of auto-regressive integrated moving average and recurrent neural network

In view of the nonlinear, stochastic and sudden characteristics of operating environment of cloud server system, a software aging prediction method based on hybrid auto-regressive integrated moving average and recurrent neural network model (ARIMA-RNN) was proposed.Firstly, the ARIMA model performs...

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Bibliographic Details
Main Authors: Haining MENG, Xinyu TONG, Yuekai SHI, Lei ZHU, Kai FENG, Xinhong HEI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-01-01
Series:Tongxin xuebao
Subjects:
software aging;cloud server;prediction method;auto-regressive integrated moving average model;recurrent neural network model
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021015
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