Efficiency and fairness improvement for elastic optical networks using reinforcement learning-based traffic prediction

A Valkanis, G Papadimitriou, G Beletsioti… - Journal of Optical …, 2021 - opg.optica.org
The characteristics of traffic in core networks have changed in recent years, with the data
flows among network nodes now showing large volumes but also large fluctuations during …

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 new logit‐artificial neural network ensemble for mode choice modeling: a case study for border transport

U Gazder, NT Ratrout - Journal of Advanced Transportation, 2015 - Wiley Online Library
Logit model is one of the statistical techniques commonly used for mode choice modeling,
while artificial neural network (ANN) is a very popular type of artificial intelligence technique …

Deep sequence modeling for anomalous isp traffic prediction

S Saha, A Haque, G Sidebottom - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Internet traffic in the real world is susceptible to various external and internal factors which
may abruptly change the normal traffic flow. Those unexpected changes are considered …

Analyzing the impact of outlier data points on multi-step internet traffic prediction using deep sequence models

S Saha, A Haque, G Sidebottom - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The task of predicting Internet traffic is challenging, particularly in multi-step forecasting due
to the volatile and random nature of data. In addition, real-world traffic may contain outlier …

Reinforcement learning in traffic prediction of core optical networks using learning automata

A Valkanis, GA Beletsioti, P Nicopolitidis… - 2020 International …, 2020 - ieeexplore.ieee.org
The development of technology related to optical core networks provides the appropriate
infrastructure for the reliable flow of information, that is constantly increasing with the …

Forecasting network interface flow using a broad learning system based on the sparrow search algorithm

X Li, S Li, P Zhou, G Chen - Entropy, 2022 - mdpi.com
In this paper, we propose a broad learning system based on the sparrow search algorithm.
Firstly, in order to avoid the complicated manual parameter tuning process and obtain the …

Multi-Step Internet Traffic Forecasting Models with Variable Forecast Horizons for Proactive Network Management

S Saha, A Haque, G Sidebottom - Sensors, 2024 - mdpi.com
The ISP (Internet Service Provider) industry relies heavily on internet traffic forecasting (ITF)
for long-term business strategy planning and proactive network management. Effective ITF …

Analysis and modelling of traffic produced by adaptive HTTP-based video

A Biernacki - Multimedia Tools and Applications, 2017 - Springer
The increase of HTTP-based video popularity causes that broadband and Internet service
providers' links transmit mainly multimedia content. Network planning, traffic engineering or …

DeepFlow: Towards network-wide ingress traffic prediction using machine learning at large scale

S Fischer, K Katsarou… - … Symposium on Networks …, 2020 - ieeexplore.ieee.org
Describing incoming web traffic-as seen from large eyeball networks, ie ingress traffic-and
estimating it into the future, are necessary operations for network service providers who …