Demo Data from VLDB 2026 / reviewers in the wild / expert
Maxime Piraux
dblp:228/8215
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 1 first-author · 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
3 papers |
Internet architecture and protocols · 41% Transport protocols and congestion control · 36% Network measurement and analytics · 23% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics
traffic measurement |
0.6 | 1 | 2022 | Revealing the evolution of a cloud provider through its network weather map · IMC 2022 |
Internet architecture and protocols › protocol engineering
protocol integration |
0.5 | 1 | 2021 | TCPLS: modern transport services with TCP and TLS · CoNEXT 2021 |
Transport protocols and congestion control
TCP |
0.5 | 1 | 2021 | TCPLS: modern transport services with TCP and TLS · CoNEXT 2021 |
Internet architecture and protocols › network security
TLS |
0.5 | 1 | 2021 | TCPLS: modern transport services with TCP and TLS · CoNEXT 2021 |
Cloud and datacenter computing › datacenter network
datacenter network operations |
0.2 | 1 | 2022 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Revealing the evolution of a cloud provider through its network weather mapabstractResearchers 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 |
IMC | 1 |
| 2021 | TCPLS: modern transport services with TCP and TLSabstractTCP and TLS are among the essential protocols in today's Internet. TCP ensures reliable data delivery while TLS secures the data transfer. Although they are very often used together, they have been designed independently following the Internet layered model. This paper demonstrates the various benefits that a closer integration between TCP and TLS would bring. Florentin Rochet, Emery Assogba, Maxime Piraux, Korian Edeline, Benoit Donnet, Olivier Bonaventure |
CoNEXT | 3 |
| 2019 | Pluginizing QUICabstractApplication requirements evolve over time and the underlying protocols need to adapt. Most transport protocols evolve by negotiating protocol extensions during the handshake. Experience with TCP shows that this leads to delays of several years or more to widely deploy standardized extensions. In this paper, we revisit the extensibility paradigm of transport protocols. Quentin De Coninck, François Michel, Maxime Piraux, Florentin Rochet, Thomas Given-Wilson, Axel Legay, Olivier Pereira, Olivier Bonaventure |
SIGCOMM | 3 |