Hybrid deep learning models and link probability based routing in software defined-DCN

In an SDN-based Data Center Network (SD-DCN) environment, network traffic is highly vulnerable to handle the dynamic requirements of the users. It creates difficulty for network management tasks and future network routing path prediction. Deep learning is an emerging technology available to analyze...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 79; no. 9; pp. 9771 - 9794
Main Authors:	Modi, Tejas M., Swain, Pravati
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2023 Springer Nature B.V
Subjects:	Algorithms Artificial neural networks Communication Communications traffic Compilers Computer Science Datasets Deep learning Delay Error analysis Interpreters Machine learning Mathematical models Network topologies Neural networks Path predictors Processor Architectures Programming Languages Quality of service architectures Recurrent neural networks Simulation Software Software defined-data center network (SD-DCN) Long short term memory (LSTM) Bidirectional long short-term memory (BiLSTM) Hybrid model Convolution neural network (CNN)
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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