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 …

Advanced Ensemble Machine Learning Models to Predict SDN Traffic

S Nyaramneni, T Potluri, J Somavarapu - Procedia Computer Science, 2023 - Elsevier
Internet traffic prediction plays a significant role in network management, network planning,
utilization of the network resources, and quality of service. Internet future traffic can be …

Arima for traffic load prediction in software defined networks

S Nyaramneni, MA Saifulla, SM Shareef - Evolutionary Computing and …, 2021 - Springer
Internet traffic prediction is needed to allocate and deallocate the resources dynamically and
to provide the QoS (quality of service) to the end-user. Because of recent technological …

LNTP: An end-to-end online prediction model for network traffic

L Zhang, H Zhang, Q Tang, P Dong, Z Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …

IoT traffic prediction using multi-step ahead prediction with neural network

AR Abdellah, OAK Mahmood… - … Congress on Ultra …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is a network of interconnected devices, such as sensors and smart
devices that have processing, sensing, and communication capabilities, as well as can …

The effect of using attribute information in network traffic prediction with deep learning

Y Tokuyama, Y Fukushima… - … on information and …, 2018 - ieeexplore.ieee.org
It is crucial for network operators to predict network traffic in the future as accurate as
possible for appropriate resource provisioning and traffic engineering. Recurrent neural …

NTAM-LSTM models of network traffic prediction

J Zhao, X He - MATEC Web of Conferences, 2022 - matec-conferences.org
Accurate prediction of network traffic is very important in allocating network resources. With
the rapid development of network technology, network traffic becomes more complex and …

Network prediction with traffic gradient classification using convolutional neural networks

T Ko, SM Raza, DT Binh, M Kim… - 2020 14th International …, 2020 - ieeexplore.ieee.org
Current TCP/IP network infrastructures and management systems are facing a tough time in
handling the unusual increase in network traffic due to the surge of typical real-time …

Network traffic prediction based on LSTM and transfer learning

X Wan, H Liu, H Xu, X Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing amount of traffic in recent years has led to increasingly complex network
problems. To be able to improve overall network performance and increase network …

A network traffic flow prediction with deep learning approach for large-scale metropolitan area network

W Wang, Y Bai, C Yu, Y Gu, P Feng… - NOMS 2018-2018 …, 2018 - ieeexplore.ieee.org
Accurate and timely internet traffic information is important for many applications, such as
bandwidth allocation, anomaly detection, congestion control and admission control. Over the …