Demo Data from SIGIR 2026 / reviewers in the wild / expert
Benoit Pit-Claudel
dblp:229/8754
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0003-3406-5817ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 |
Software-defined and programmable networks · 44% Datacenter networks · 44% Internet architecture and protocols · 13% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks
programmable data plane |
0.3 | 1 | 2018 | Stateless Load-Aware Load Balancing in P4 · ICNP 2018 |
Datacenter networks › load balancing
stateless load balancing |
0.3 | 1 | 2018 | Stateless Load-Aware Load Balancing in P4 · ICNP 2018 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.3 | 1 | 2018 | Stateless Load-Aware Load Balancing in P4 · ICNP 2018 |
Internet architecture and protocols › IPv6
IPv6 segment routing |
0.1 | 1 | 2018 | Stateless Load-Aware Load Balancing in P4 · ICNP 2018 |
Methods — techniques the papers use, named apart from their topics
power-of-choices · 0.7covert channel · 0.7consistent hashing · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Stateless Load-Aware Load Balancing in P4abstractLeveraging the performance opportunities offered by programmable hardware, stateless load-balancing architectures allowing line-rate processing are appealing. Moreover, it has been demonstrated that significantly fairer load-balancing can be achieved by an architecture that considers the actual load of application instances when dispatching connection requests. Architectures which maintain per-connection state for resiliency and/or track application load state for fairness are, however, at odds with hardware-imposed memory constraints. Thus, a desirable load-balancer for programmable hardware would be both stateless and able to dispatch queries to application instances according to their current load. This paper presents SHELL, a stateless application-aware load-balancer combining (i) a power-of-choices scheme using IPv6 Segment Routing to dispatch new flows to a suitable application instance from among multiple candidates, and (ii) the use of a covert channel to record/report which flow was assigned to which candidate in a stateless fashion. In addition, consistent hashing versioning is used to ensure that connections are maintained to the correct application instance, using Segment Routing to "browse" through the history when needed. The stateless design of SHELL makes it suitable for hardware implementation, and this paper describes the implementation of a P4-NetFPGA prototype. A performance evaluation of this SHELL implementation demonstrates throughput and latency characteristics comparable to other stateless load-balancing implementations, while enabling application instance-load-aware dispatching and significantly increasing per-connection consistency resiliency. Benoit Pit-Claudel, Yoann Desmouceaux, Pierre Pfister, W. Mark Townsley, Thomas H. Clausen |
ICNP | 1 |