Machine learning for network automation: overview, architecture, and applications [Invited Tutorial]

D Rafique, L Velasco - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

Cognitive assurance architecture for optical network fault management

D Rafique, T Szyrkowiec, H Grießer… - Journal of Lightwave …, 2018 - opg.optica.org
In face of staggering traffic growth driven by cloud-based platforms, modern optical networks—
forming the backbone of such connectivity—are faced with increasing requirements in terms …

Automatic intent-based secure service creation through a multilayer SDN network orchestration

T Szyrkowiec, M Santuari, M Chamania… - Journal of Optical …, 2018 - opg.optica.org
Growing traffic demands and increasing security awareness are driving the need for secure
services. Current solutions require manual configuration and deployment based on the …

A survey of big data machine learning applications optimization in cloud data centers and networks

SH Mohamed, TEH El-Gorashi… - arXiv preprint arXiv …, 2019 - arxiv.org
This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

Self-optimizing optical network with cloud-edge collaboration: Architecture and application

Z Li, Y Zhao, Y Li, M Liu, Z Zeng, X Xin… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
As an important bearer network of the fifth generation (5G) mobile communication
technology, the optical transport network (OTN) needs to have high-quality network …

Divide and conquer for fast SRLG disjoint routing

K Xie, H Tao, X Wang, G Xie, J Wen… - 2018 48th Annual …, 2018 - ieeexplore.ieee.org
Ensuring transmission survivability is a crucial problem for high-speed networks. Path
protection is a fast and capacity-efficient approach for increasing the availability of end to …

A framework for dynamic multi-layer resource allocation and optimization in application-centric networking

Ć Rožić, M Savi, C Matrakidis, D Klonidis… - Optical Fiber …, 2017 - opg.optica.org
In an SDN-based network, connection requests can be accommodated according to
application requirements. We devise a framework where such requirements drive IP and …

Leveraging Network Slicing in SDNs for Handling Application Failures.

B Lokesh, N Rajagopalan - IAENG International Journal of …, 2024 - search.ebscohost.com
Unlike traditional networks, Software-defined networks (SDNs) provide an overall view and
centralized control of all the devices in the network. SDNs enable the network administrator …

[PDF][PDF] Distributed Multi Criteria Routed for MPLS-TE Based on Machine Learning: Concept and Applications.

J Oubaha, A Ouacha, H Echoukairi - J. Commun., 2022 - academia.edu
MPLS-TE Networks are complex interacting systems, providers integrate absolutely the
forwarding equivalent class involving in the dynamic routing algorithm" Dynamic Multi …

A dynamic multi-layer resource allocation and optimization framework in application-centric networks

Ć Rožić, M Savi, C Matrakidis… - Journal of Lightwave …, 2018 - ieeexplore.ieee.org
In a software-defined networking (SDN) based network, service requests can be
accommodated according to the network application requirements. We devise a framework …