A Hybrid Approach by CEEMDAN‐Improved PSO‐LSTM Model for Network Traffic Prediction

B Shao, D Song, G Bian, Y Zhao - Security and Communication …, 2022 - Wiley Online Library
As an important part of data management, network traffic evaluation and prediction can not
only find network anomalies but also judge the future trends of the network. To predict …

An intelligent network traffic prediction method based on Butterworth filter and CNN–LSTM

X Hu, W Liu, H Huo - Computer Networks, 2024 - Elsevier
Accurate and real-time network traffic prediction is of paramount importance in the fields of
network management, performance optimization, and fault diagnosis. It provides strong …

Optimization and decomposition methods in network traffic prediction model: A review and discussion

J Shi, YB Leau, K Li, YJ Park, Z Yan - IEEE Access, 2020 - ieeexplore.ieee.org
The 21st century is a high-tech information era in which our lives are closely linked by
computer networks. Hence, how to effectively supervise networks and reduce the frequency …

Network traffic prediction model based on ensemble empirical mode decomposition and multiple models

L Lian, Z Tian - International Journal of Communication …, 2021 - Wiley Online Library
In order to improve the prediction accuracy of network traffic, a novel prediction model based
on ensemble empirical mode decomposition and multiple models is proposed. In this study …

Network traffic prediction model based on improved VMD and PSO‐ELM

J Shi, J Zhou, J Feng, H Chen - International Journal of …, 2023 - Wiley Online Library
The rapid update of computing power leads to exponential data traffic growth, and the
incidence of network attacks is also increasing. It is significantly important to analyze and …

A novel hybrid network traffic prediction approach based on support vector machines

W Chen, Z Shang, Y Chen - Journal of Computer Networks and …, 2019 - Wiley Online Library
Network traffic prediction performs a main function in characterizing network community
performance. An approach which could appropriately seize the salient characteristics of the …

An EMD-and GRU-based hybrid network traffic prediction model with data reconstruction

S Du, ZQ Xu, J Lv - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Network traffic can reflect the operating status and resource bottleneck of the entire network.
Accurate prediction of the future network is helpful in network maintenance, network …

An intelligent network traffic prediction scheme based on ensemble learning of multi-layer perceptron in complex networks

C Wang, W Cao, X Wen, L Yan, F Zhou, N Xiong - Electronics, 2023 - mdpi.com
At present, the amount of network equipment, servers, and network traffic is increasing
exponentially, and the way in which operators allocate and efficiently utilize network …

Multiscale network traffic prediction method based on deep echo-state network for internet of things

J Zhou, T Han, F Xiao, G Gui, B Adebisi… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
As a typical Internet of Things application, network traffic prediction (NTP) plays a decisive
role in congestion control, resource allocation, and anomaly detection. The trend of network …

Network traffic prediction method based on improved echo state network

J Zhou, X Yang, L Sun, C Han, F Xiao - IEEE Access, 2018 - ieeexplore.ieee.org
The network traffic sequence has the complex characters, such as mutability, chaos,
timeliness, and nonlinearity, which bring many difficulties to network traffic prediction. In …