A Rejuvenation Model for Software System under Normal Attack
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7293439/7345233/07345406.pdf?arnumber=7345406
Cited by 5 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
1. ACLM:Software Aging Prediction of Virtual Machine Monitor Based on Attention Mechanism of CNN-LSTM Model;2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS);2021-12
2. GAN-ASD: Precise Software Aging State Detection for Android System Based on BEGAN Model and State Clustering;2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID);2020-05
3. CSSAP: Software Aging Prediction for Cloud Services Based on ARIMA-LSTM Hybrid Model;2019 IEEE International Conference on Web Services (ICWS);2019-07
4. Integrating Artificial Bee Colony Algorithm and BP Neural Network for Software Aging Prediction in IoT Environment;IEEE Access;2019
5. Optimizing software rejuvenation policy for real time tasks;Reliability Engineering & System Safety;2018-08
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