Association Learning based Hybrid Model for Cloud Workload Prediction-Reference-Cited by-同舟云学术

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Association Learning based Hybrid Model for Cloud Workload Prediction

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 International Joint Conference on Neural Networks (IJCNN)
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Author:

Kumar Siddhant,Muthiyan Neha,Gupta Shaifu,Dileep A.D.,Nigam Aditya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8465565/8488986/08488996.pdf?arnumber=8488996

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

2. SeQual: an unsupervised feature selection method for cloud workload traces;The Journal of Supercomputing;2023-04-14

3. Container Load Prediction Based on Extended Berkeley Packet Filter;Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery;2023

4. CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing;2022 IEEE International Conference on Cloud Engineering (IC2E);2022-09

5. On accurate prediction of cloud workloads with adaptive pattern mining;The Journal of Supercomputing;2022-07-05

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