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.

Nicolas Rybowski

dblp:299/8846 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0003-4264-1706ORCID · reported

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

Computer networks · 2 · 2 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
2 papers
Routing and switching · 52% Software-defined and programmable networks · 26% Network measurement and analytics · 22%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Routing and switching › inter-domain routing
BGP
0.712023
xBGP: Faster Innovation in Routing Protocols · NSDI 2023
Software-defined and programmable networks
programmable routing
0.712023
xBGP: Faster Innovation in Routing Protocols · NSDI 2023
Routing and switching
routing protocol
0.712023
xBGP: Faster Innovation in Routing Protocols · NSDI 2023
Network measurement and analytics
traffic measurement
0.612022
Revealing the evolution of a cloud provider through its network weather map · IMC 2022
Cloud and datacenter computing › datacenter network
datacenter network operations
0.212022
Revealing the evolution of a cloud provider through its network weather map · IMC 2022

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

measurement · 1.1
YearPublicationVenuePosition
2023 xBGP: Faster Innovation in Routing Protocols
Thomas Wirtgen, Tom Rousseaux, Quentin De Coninck, Nicolas Rybowski, Randy Bush, Laurent Vanbever, Axel Legay, Olivier Bonaventure
NSDI4
2022 Revealing the evolution of a cloud provider through its network weather map
abstract
Researchers often face the lack of data on large operational networks to understand how they are used, how they behave, and sometimes how they fail. This data is crucial to drive the evolution of Internet protocols and develop techniques such as traffic engineering, DDoS detection and mitigation. Companies that have access to measurements from operational networks and services leverage this data to improve the availability, speed, and resilience of their Internet services. Unfortunately, the availability of large datasets, especially collected regularly over a long period of time, is a daunting task that remains scarce in the literature.
Maxime Piraux, Louis Navarre, Nicolas Rybowski, Olivier Bonaventure, Benoit Donnet
IMC3