Mar 15, 2023 · A VNF resource requirements prediction model based on convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed.
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In this paper, a VNF resource requirements prediction model based on CNN-GRU is proposed to predict the VNF resource requirements under specific traffic load.
This paper proposes a hierarchical optimal scheduling strategy based on model predictive control method to overcome the active power scheduling problem of ...
Jul 11, 2024 · A 1D CNN-GRU prediction model for few-shot conditions is proposed in this paper. In pursuit of more comprehensive data feature extraction and enhanced RUL ...
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This paper investigates the use of machine learning techniques to estimate VNFs needs in term of CPU as a function of the traffic they will process and ...
This study proposes a combined model, using CNN to extract spatial features and GRU to capture temporal information, to achieve an accurate prediction.
Jul 26, 2023 · This paper proposes a prediction model combining a convolutional neural network (CNN) and gated recurrent unit (GRU) based on an attention mechanism
The RF-CNN-GRU model employs the RF to fill in missing values in the data and subsequently applies the CNN to extract features from the imputed data. The data ...
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This research proposes VNF requirement prediction methods based on Deep Neural Networks (DNN) and Long Short Term Memory (LSTM) Networks, and provides ...
Nov 28, 2017 · This paper investigates the use of machine learning techniques to estimate VNFs needs in term of CPU as a function of the traffic they will ...