Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Matteo Ravalli

dblp:394/2440 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0007-9888-4893ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Network management and operations · 44% Internet architecture and protocols · 44% Network measurement and analytics · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
deterministic networking
0.812024
Artificial Intelligence Control Plane for Deterministic Networks Proof-of-Concept · MobiCom 2024
Network management and operations
intent-based networking
0.812024
Artificial Intelligence Control Plane for Deterministic Networks Proof-of-Concept · MobiCom 2024

Methods — techniques the papers use, named apart from their topics

digital twin · 0.8artificial intelligence · 0.8
YearPublicationVenuePosition
2024 Artificial Intelligence Control Plane for Deterministic Networks Proof-of-Concept
abstract
This paper presents the design and implementation of an Artificial Intelligence Control Plane (AICP) for deterministic networks, emphasizing the Proof-of-Concept (PoC) demonstration. The AICP framework integrates AI, digital twin technology, and real-time telemetry to manage complex network environments, ensuring reliable and low-latency communication. The PoC showcases the practical viability of the AICP by dynamically adapting to varying network demands and maintaining stringent to the Key Performance Indicator (KPI)s of the service. Extensive testing and real-world simulations highlight the framework's potential to enhance the efficiency and resilience of industrial communication networks.
Alejandro Calvillo-Fernandez, Matteo Ravalli, Juan Brenes Baranzano, Pietro G. Giardina, Jose Luis Carcel, David Rico-Menendez, Fernando Agraz, Salvatore Spadaro, Luis Velasco 0001
MobiCom2