Prediction of Network Traffic Through Light-Weight Machine Learning
The evolving nature of network traffic challenges existing learning-based models, as frequently re-training the hyper-parameters is required to adaptively learn and predict its behavior. Benefiting from discovering the sparsity and self-similarity of network traffic, it becomes possible to develop c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9270600/ |