An integrated model for prediction of loading packets in network traffic

THH Aldhyani, MR Joshi - … of the Second International Conference on …, 2016 - dl.acm.org
In last decade, highest growth in the numbers of computers connected directly to the Internet
has gained momentum. Consequently, prediction of network internet traffic becomes very …

Artificial Neural network non-linear auto regressive moving average (narma) model for internet traffic prediction

MN Sahrani, MMM Zan, IM Yassin… - Journal of …, 2017 - jtec.utem.edu.my
The technology of computing and network communication is undergoing rapid development,
leading to increasing number of applications and services being available online. As more …

Internet traffic prediction using recurrent neural networks

ME Dodan, QT Vien, TT Nguyen - EAI Endorsed Transactions on Industrial …, 2022 - eudl.eu
Network traffic prediction (NTP) represents an essential component in planning large-scale
networks which are in general unpredictable and must adapt to unforeseen circumstances …

A network traffic prediction method based on LSTM

S Wang, Q Zhuo, H Yan, Q Li, Y Qi - ZTE communications, 2019 - zte.magtechjournal.com
As the network sizes continue to increase, network traffic grows exponentially. In this
situation, how to accurately predict network traffic to serve customers better has become one …

An empirical study on internet traffic prediction using statistical rolling model

S Saha, A Haque, G Sidebottom - 2022 International Wireless …, 2022 - ieeexplore.ieee.org
Real-world IP network traffic is susceptible to exter-nal and internal factors such as new
internet service integration, traffic migration, internet application, etc. Due to these factors …

Network Traffic Prediction Method Based on Time Series Characteristics

Y Huo, C Song, S Gao, H Yang, Y Yan… - The 10th International …, 2021 - Springer
With the continuous development of computer networks in recent years, the scale and types
of services carried by the network are increasing. Accurate traffic prediction results provide …

A network traffic forecasting method based on SA optimized ARIMA–BP neural network

H Yang, X Li, W Qiang, Y Zhao, W Zhang, C Tang - Computer Networks, 2021 - Elsevier
Network traffic forecasting provides key information for network management, resource
allocation, traffic attack detection. However, traditional linear and non-linear network traffic …

[PDF][PDF] Applying machine learning approaches for network traffic forecasting

S Prajam, C Wechtaisong, AA Khan - Indian Journal of Computer Science …, 2022 - ijcse.com
In the era of the digital world. The communication and the use the internet is an important
role in today's society. As a result, the number of users networks traffic increases but not …

[PDF][PDF] Parameters of network traffic prediction model jointly optimized by genetic algorithm

WJ Lu - Journal of Networks, 2014 - Citeseer
In order to improve the performance of network traffic prediction model, a novel network
traffic prediction model is proposed in this paper which embedding dimension and time …

Network traffic prediction method based on wavelet transform and multiple models fusion

Z Tian - International Journal of Communication Systems, 2020 - Wiley Online Library
Accurate prediction of network traffic is an important premise in network management and
congestion control. In order to improve the prediction accuracy of network traffic, a prediction …