Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems-Reference-Cited by-同舟云学术

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Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC)
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Author:

Bi Jing,Li Shuang,Yuan Haitao,Zhao Ziyan,Liu Haoyue

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8737693/8743149/08743188.pdf?arnumber=8743188

Cited by 35 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. A workload prediction model for reducing service level agreement violations in cloud data centers;Decision Analytics Journal;2024-06

3. A novel workload forecasting model for cloud computing using ALAA-DBN algorithm;Multimedia Tools and Applications;2024-05-21

4. Robustness of Workload Forecasting Models in Cloud Data Centers: A White-Box Adversarial Attack Perspective;IEEE Access;2024

5. Enhancing Power Efficiency Prediction in Small-Scale Data Centers using Attention-Based Deep Neural Networks;2023 IEEE 5th International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH);2023-12-01

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