LSTM for Cloud Data Centers Resource Allocation in Software-Defined Optical Networks-Reference-Cited by-同舟云学术

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LSTM for Cloud Data Centers Resource Allocation in Software-Defined Optical Networks

Published:2020-10-28 Issue: Volume: Page:
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Container-title:2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
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Author:

Aibin Michal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9297925/9297927/09298133.pdf?arnumber=9298133

Cited by 6 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. Cloud Resource Allocation Recommendation Based on Machine Learning;2024 24th International Conference on Transparent Optical Networks (ICTON);2024-07-14

2. Baiji: Domain Planning for CDNs under the 95th Percentile Billing Model;2024 IFIP Networking Conference (IFIP Networking);2024-06-03

3. Retraction Note: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm;Journal of Cloud Computing;2023-12-06

4. Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm;Journal of Cloud Computing;2022-12-03

5. A Survey on Application of LSTM as a Deep Learning Approach in Traffic Classification for SDN;Lecture Notes in Networks and Systems;2022-11-10

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