Efficiency and fairness improvement for elastic optical networks using reinforcement learning-based traffic prediction
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 …
flows among network nodes now showing large volumes but also large fluctuations during …
Traffic prediction for dynamic traffic engineering
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 …
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
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 …
while artificial neural network (ANN) is a very popular type of artificial intelligence technique …
Analyzing the impact of outlier data points on multi-step internet traffic prediction using deep sequence models
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 …
to the volatile and random nature of data. In addition, real-world traffic may contain outlier …
Deep sequence modeling for anomalous isp traffic prediction
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 …
may abruptly change the normal traffic flow. Those unexpected changes are considered …
Reinforcement learning in traffic prediction of core optical networks using learning automata
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 …
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 …
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
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 …
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 …
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 …
estimating it into the future, are necessary operations for network service providers who …