A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …
as much as possible. This paradigm made modern solutions, such as recommendation …
A survey on client throughput prediction algorithms in wired and wireless networks
J Schmid, A Höss, BW Schuller - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Network communication has become a part of everyday life, and the interconnection among
devices and people will increase even more in the future. Nevertheless, prediction of Quality …
devices and people will increase even more in the future. Nevertheless, prediction of Quality …
The learning and prediction of application-level traffic data in cellular networks
Traffic learning and prediction is at the heart of the evaluation of the performance of
telecommunications networks and attracts a lot of attention in wired broadband networks …
telecommunications networks and attracts a lot of attention in wired broadband networks …
Forecasting short-term data center network traffic load with convolutional neural networks
Efficient resource management in data centers is of central importance to content service
providers as 90 percent of the network traffic is expected to go through them in the coming …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Prediction of network traffic in wireless mesh networks using hybrid deep learning model
S Mahajan, R HariKrishnan, K Kotecha - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless mesh networks are getting adopted in the domain of network communication. Their
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …
[HTML][HTML] Identification and prediction of internet traffic using artificial neural networks
This paper presents the development of an artificial neural network (ANN) model based on
the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We …
the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We …
Neural network architecture based on gradient boosting for IoT traffic prediction
M Lopez-Martin, B Carro… - Future Generation …, 2019 - Elsevier
Network traffic forecasting is an operational and management function that is critical for any
data network. It is even more important for IoT networks given the number of connected …
data network. It is even more important for IoT networks given the number of connected …
Comparing forecasting approaches for Internet traffic
C Katris, S Daskalaki - Expert systems with applications, 2015 - Elsevier
In this paper, we experiment with several different forecasting approaches for Internet traffic
and a scheme for their evaluation. First the existence of properties such as Short or Long …
and a scheme for their evaluation. First the existence of properties such as Short or Long …
DCENet: A dynamic correlation evolve network for short-term traffic prediction
Graph neural networks (GNNs) have been extensively employed in traffic prediction tasks
due to their excellent capturing capabilities of spatial dependence. However, the majority of …
due to their excellent capturing capabilities of spatial dependence. However, the majority of …
A model for throughput prediction for mobile users
In this paper we propose a stochastic model to predict user throughput in mobile networks.
In particular, the model accounts for uncertainty such as random phenomena (eg, fast …
In particular, the model accounts for uncertainty such as random phenomena (eg, fast …