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 …

Network routing by traffic prediction on time series models

SJ Jung, YK Chung, CG Kim - Journal of KIISE: Information …, 2005 - koreascience.kr
An increase In traffic has a large Influence on the performance of a total network. Therefore,
traffic management has become an important issue of network management. In this paper …

Adaptive bandwidth allocation based on sample path prediction with Gaussian process regression

J Kim, G Hwang - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Traffic prediction facilitates intelligent networking maintenance by enabling efficient network
resource allocation. With the development of machine learning algorithms, traffic prediction …

An efficient method for accelerating training of short-term traffic prediction models in large-scale traffic networks

A I. Salamanis, G A. Gravvanis… - Proceedings of the 24th …, 2020 - dl.acm.org
The increasing availability of large volumes of traffic data has led to the development of
several short-term traffic prediction models. Training these models is a computationally …

A fast non-linear adaptive algorithm for video traffic prediction

H Zhao, N Ansari, YQ Shi - … . International Conference on …, 2002 - ieeexplore.ieee.org
To guarantee quality of service (QoS), the requirements for video transmission such as delay
and cell loss rate (CLR) are very stringent. These constraints are difficult to meet if high …

[引用][C] Internet Traffic Prediction Based on Boosting Feed-Forward Neural Network

H Tong, C Li, J He - APAN Network Research Workshop, 2004

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 …

A matlab-based traffic prediction system

YC Chen, YW Lin, MY Lu… - … Computer Symposium (ICS …, 2016 - ieeexplore.ieee.org
Traffic prediction systems are currently the most important techniques, as they can be wildly
applied in different aspects. Given a set of past traffic data, a traffic prediction system is able …

A survey on traffic flow prediction Methods

K Irawan, R Yusuf… - 2020 6th International …, 2020 - ieeexplore.ieee.org
In order to grow efficiency in Intelligent Transportation System (ITS), a number of dynamic
route guidance scheme has been designed to assist driver in determining the optimal route …

WIP: Short-Term Flow-Based Bandwidth Forecasting using Machine Learning

M Labonne, J López, C Poletti… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
This paper proposes a novel framework to predict traffic flows' bandwidth ahead of time.
Modern network management systems share a common issue: the network situation evolves …