Deep Learning-Assisted Traffic Prediction in Hybrid SDN/OSPF Backbone Networks-Reference-Cited by-同舟云学术

Deep Learning-Assisted Traffic Prediction in Hybrid SDN/OSPF Backbone Networks

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
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Author:

Etengu Richard¹,Tan Saw Chin¹,Chuah Teong Che²,Galan-Jimenez Jaime³

Affiliation:

1. Multimedia University,Faculty of Computing and Informatics,Cyberjaya,Malaysia

2. Multimedia University,Faculty of Engineering,Cyberjaya,Malaysia

3. University of Extremadura,Department of Computer Systems and Telematics Engineering,Spain

Funder

Multimedia University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9789703/9789704/09789868.pdf?arnumber=9789868

Reference28 articles.

1. Component-based LDA Face Descriptor for Image Retrieval

2. Computer network traffic prediction: a comparison between traditional and deep learning neural networks

3. Towards traffic matrix prediction with LSTM recurrent neural networks

4. NeuTM: A neural network-based framework for traffic matrix prediction in SDN

5. Deep Learning Models For Aggregated Network Traffic Prediction

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