Survey on machine learning for traffic-driven service provisioning in optical networks

T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

Machine learning for intelligent optical networks: A comprehensive survey

R Gu, Z Yang, Y Ji - Journal of Network and Computer Applications, 2020 - Elsevier
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

Prospects and challenges of photonic switching in data centers and computing systems

SJB Yoo - Journal of Lightwave Technology, 2021 - ieeexplore.ieee.org
This Tutorial will discuss the motivation, benefits, and challenges of photonic switching in
data centers and cover prospects of future data centers involving emerging new …

Burst traffic scheduling for hybrid E/O switching DCN: An error feedback spiking neural network approach

A Yu, H Yang, KK Nguyen, J Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Hybrid electrical/optical (E/O) switching data center network (DCN) has recently emerged as
a promising paradigm for future DCN architectures. However, there exist two major …

Data-augmentation-based cellular traffic prediction in edge-computing-enabled smart city

Z Wang, J Hu, G Min, Z Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the massive deployment of 5G cellular infrastructures, traffic prediction has become an
indispensable part of the cellular resource management system in order to provide reliable …

Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies

Y Ji, R Gu, Z Yang, J Li, H Li, M Zhang - Science China Information …, 2020 - Springer
In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …

Classification and forecasting of real-time server traffic flows employing long short-term memory for hybrid E/O data center networks

M Balanici, S Pachnicke - Journal of Optical Communications and …, 2021 - opg.optica.org
Long short-term memory neural networks demonstrate a classification accuracy larger than
99% for highly variable and bursty, real-time server traffic flows. Their performance in terms …

Efficient dynamic routing in spectrally-spatially flexible optical networks based on traffic categorization and supervised learning methods

R Goścień, P Ksieniewicz - Optical Switching and Networking, 2022 - Elsevier
In this paper, we focus on the efficient dynamic routing in Spectrally-Spatially Flexible
Optical Networks (ss-fon) realized using Single-Mode Fiber Bundles (smfb s). We study two …

Traffic-aware service relocation in software-defined and intent-based elastic optical networks

R Goścień - Computer Networks, 2023 - Elsevier
The paper focuses on the efficient dynamic routing of unicast and data center (dc)-related
requests in elastic optical networks (eons) implementing software-defined networking (sdn) …

Modeling and prediction of daily traffic patterns—WASK and SIX case study

R Goścień, A Knapińska, A Włodarczyk - Electronics, 2021 - mdpi.com
The paper studies efficient modeling and prediction of daily traffic patterns in transport
telecommunication networks. The investigation is carried out using two historical datasets …