Network traffic prediction model based on training data

J Park, SM Raza, P Thorat, DS Kim, H Choo - Computational Science and …, 2015 - Springer
Real-time audio and video services have gained much popularity in last decade, and now
occupying a large portion of the total network traffic in the Internet. As the real-time services …

Machine-learning based prediction of multiple types of network traffic

A Knapińska, P Lechowicz, K Walkowiak - International Conference on …, 2021 - Springer
Prior knowledge regarding approximated future traffic requirements allows adjusting
suitable network parameters to improve the network's performance. To this end, various …

Internet traffic prediction in sdn using rf and xgb

S Nyaramneni, MA Saifulla, SS Mehra - Advances in Computational and …, 2020 - Springer
Internet traffic prediction is required for the allocation of bandwidth dynamically to provide
continuous services to the users and to improve the QoS (Quality of Service). Internet traffic …

Traffic prediction for dynamic traffic engineering

T Otoshi, Y Ohsita, M Murata, Y Takahashi… - Computer Networks, 2015 - Elsevier
Traffic engineering with traffic prediction is a promising approach to accommodate time-
varying traffic without frequent route changes. In this approach, the routes are decided so as …

A novel hybrid prediction algorithm to network traffic

D Jiang, Z Xu, H Xu - annals of telecommunications-annales des …, 2015 - Springer
Network traffic describes the characteristics and users' behaviors of communication
networks. It is a crucial input parameter of network management and network traffic …

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 …

Network traffic prediction and applications based on time series model

J Lv, X Li, T Li - International Conference on Intelligent Computing, 2007 - Springer
Network traffic prediction is a very complex and difficult issue in the network management
and design. This paper shows a model with a new algorithm (MLSL), and the model …

A hybrid approach for web traffic prediction using deep learning algorithms

A Prasanth, P Surendran, D John… - 2022 9th International …, 2022 - ieeexplore.ieee.org
The web traffic is a time series action and it is having its peak and low. Even though it can be
predicted in different ways but as when we use the fastest growing time series databases …

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 …

A Systematic and Comprehensive Study on Machine Learning and Deep Learning Models in Web Traffic Prediction

J Trivedi, M Shah - Archives of Computational Methods in Engineering, 2024 - Springer
The practice of predicting the traffic that is headed toward a specific website is known as
web traffic prediction. To govern a network, network traffic forecasting is crucial. Since clients …