most citedMoleNetwork: A tool for the generation of synthetic optical network topologies

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2025

Introducing Large Language Models as the Next Challenging Internet Traffic Source

Nataliia Koneva, Alejandro Leonardo García Navarro, Alfonso Sánchez-Macián +3

This article explores the growing impact of large language models (LLMs) and Generative AI (GenAI) tools on Internet traffic, focusing on their role as a new and significant source…

eess.SY2024

Analyzing Ultra-Low Inter-Core Crosstalk Fibers in Band and Space Division Multiplexing EONs

F. Arpanaei, C. Natalino, M. Ranjbar Zefreh +10

In the ultra-low inter-core crosstalk working zone of terrestrial multi-band and multi-core fiber (MCF) elastic optical networks (EONs), the ICXT in all channels of all cores remai…

cs.NI20241 cited

MoleNetwork: A tool for the generation of synthetic optical network topologies

Alfonso Sánchez-Macián, Nataliia Koneva, Marco Quagliotti +6

Model networks and their underlying topologies have been used as a reference for techno-economic studies for several decades. Existing reference topologies for optical networks may…

cs.NI2024

A Queuing Envelope Model for Estimating Latency Guarantees in Deterministic Networking Scenarios

Nataliia Koneva, Alfonso Sánchez-Macián, José Alberto Hernández +2

Accurate estimation of queuing delays is crucial for designing and optimizing communication networks, particularly in the context of Deterministic Networking (DetNet) scenarios. Th…

cs.NI20241 cited

Reinforcement-Learning based routing for packet-optical networks with hybrid telemetry

A. L. García Navarro, Nataliia Koneva, Alfonso Sánchez-Macián +3

This article provides a methodology and open-source implementation of Reinforcement Learning algorithms for finding optimal routes in a packet-optical network scenario. The algorit…

cs.NI2024

On optimizing Inband Telemetry systems for accurate latency-based service deployments

Nataliia Koneva, Alfonso Sánchez-Macián, José Alberto Hernández +1

The power of Machine Learning and Artificial Intelligence algorithms based on collected datasets, along with the programmability and flexibility provided by Software Defined Networ…