CSSAP: Software Aging Prediction for Cloud Services Based on ARIMA-LSTM Hybrid Model-Reference-Cited by-同舟云学术

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CSSAP: Software Aging Prediction for Cloud Services Based on ARIMA-LSTM Hybrid Model

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Web Services (ICWS)
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Author:

Liu Jing,Tan Xueyong,Wang Yan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8805195/8818298/08818425.pdf?arnumber=8818425

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. TTAFPred: Prediction of time to aging failure for software systems based on a two-stream multi-scale features fusion network;Software Quality Journal;2024-07-22

3. A novel multi-step-ahead approach for cloud server aging prediction based on hybrid deep learning model;Engineering Applications of Artificial Intelligence;2024-07

4. An Evolutionary Approach to Forecasting Models Hybridization;Proceedings of the 2024 16th International Conference on Machine Learning and Computing;2024-02-02

5. Workload prediction for SLA performance in cloud environment: ESANN approach;Intelligent Decision Technologies;2023-11-20

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