Gateway placement optimization in LEO satellite networks based on traffic estimation

J Guo, D Rincon, S Sallent, L Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Using satellite constellations to provide global Internet access services has recently drawn
increasing attention. A low-Earth orbit (LEO) satellite network with multiple satellites …

An ai-based traffic matrix prediction solution for software-defined network

DH Le, HA Tran, S Souihi… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
Traffic Matrix (TM) clearly describes the volume and the distribution of traffic flows inside a
network. TM plays an important role in many network management fields, such as traffic …

Evaluation of origin-destination matrices based on analysis of data on transport passenger flows

G Timofeeva, O Ie - 2021 - elar.urfu.ru
The problem of reconstructing the origin-destination matrix for transport following fixed
routes is studied. Estimates are based on statistics on passengers entering and leaving at …

Learning-based hybrid routing for scalability in software defined networks

A Nayyer, AK Sharma, LK Awasthi - Computer Networks, 2021 - Elsevier
Abstract Software Defined Network is an emerging paradigm in computer networks. The
separation of the control plane from the forwarding plane in this arrangement has different …

Design and Implementation of a Robust Convolutional Neural Network‐Based Traffic Matrix Estimator for Cloud Networks

RA Memon, S Qazi, BM Khan - Wireless Communications and …, 2021 - Wiley Online Library
Recent research literature shows promising results by convolutional neural network‐(CNN‐)
based approaches for estimation of traffic matrix of cloud networks using different …

Distributed and adaptive traffic engineering with deep reinforcement learning

N Geng, M Xu, Y Yang, C Liu, J Yang… - 2021 IEEE/ACM 29th …, 2021 - ieeexplore.ieee.org
Lots of studies focus on distributed traffic engineering (TE) where routers make routing
decisions independently. Existing approaches usually tackle distributed TE problems …

Energy-efficient virtual security function placement in NFV-enabled networks

S Demirci, S Sagiroglu, M Demirci - Sustainable Computing: Informatics …, 2021 - Elsevier
In network functions virtualization (NFV) environments, network security is provided with the
deployment of virtual security functions (VSF) on general-purpose servers to filter and …

A Barzilai–Borwein gradient algorithm for spatio-temporal internet traffic data completion via tensor triple decomposition

Y Chen, X Zhang, L Qi, Y Xu - Journal of Scientific Computing, 2021 - Springer
With the coming of high-speed network and 5G era, internet traffic data is crucial for various
network tasks such as traffic engineering, capacity planning and anomaly detection. To …

Prediction augmented segment routing

M Kodialam, TV Lakshman - 2021 IEEE 22nd International …, 2021 - ieeexplore.ieee.org
With the increasing success of machine learning based approaches for prediction problems,
there has been recent effort in improving the performance of online algorithms by …

Travel demand estimation in urban road networks as inverse traffic assignment problem

A Krylatov, A Raevskaya, V Zakharov - … and Telecommunication Journal, 2021 - sciendo.com
Nowadays, traffic engineers employ a variety of intelligent tools for decision support in the
field of transportation planning and management. However, not a one available tool is useful …