Demo Data from EDBT 2026 / reviewers in the wild / expert
Carlo Contavalli
dblp:197/7109
· DBLP profile ↗
4ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2Software engineering, systems software and programming languages · 2 · 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 architecture, parallel and distributed computing, and storage systems
3 papers |
Cloud and datacenter computing · 62% GPUs and heterogeneous computing · 34% Distributed systems · 3% | |
| Computer networks
2 papers |
Datacenter networks · 53% Internet architecture and protocols · 20% Transport protocols and congestion control · 20% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 8 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
datacenter network |
0.6 | 2 | 2019 | Snap: a microkernel approach to host networking · SOSP 2019 Maglev: A Fast and Reliable Software Network Load Balancer · NSDI 2016 |
Cloud and datacenter computing › virtualization › network virtualization
network function virtualization |
0.4 | 1 | 2019 | Snap: a microkernel approach to host networking · SOSP 2019 |
Cloud and datacenter computing
userspace networking |
0.4 | 1 | 2019 | Snap: a microkernel approach to host networking · SOSP 2019 |
Transport protocols and congestion control › rate control
packet pacing |
0.3 | 1 | 2017 | Carousel: Scalable Traffic Shaping at End Hosts · SIGCOMM 2017 |
Internet architecture and protocols
traffic shaping |
0.3 | 1 | 2017 | Carousel: Scalable Traffic Shaping at End Hosts · SIGCOMM 2017 |
Operating systems › kernel › kernel design › microkernel
microkernel design |
0.1 | 1 | 2019 | Snap: a microkernel approach to host networking · SOSP 2019 |
Network optimization and economics › resource allocation
bandwidth allocation |
0.1 | 1 | 2017 | Carousel: Scalable Traffic Shaping at End Hosts · SIGCOMM 2017 |
Distributed systems
fault tolerance |
0.1 | 1 | 2016 | Maglev: A Fast and Reliable Software Network Load Balancer · NSDI 2016 |
Methods — techniques the papers use, named apart from their topics
kernel bypass · 0.8RDMA · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | High-throughput and Flexible Host Networking for Accelerated Computing
Athinagoras Skiadopoulos, Mark Zhao, Qizhe Cai, Saksham Agarwal, Jacob Adelmann, David Ahern, Carlo Contavalli, Michael D. Goldflam, Vitaly Mayatskikh, Raghu Raja, Daniel Walton, Rachit Agarwal 0001, Shrijeet Mukherjee, Christoforos E. Kozyrakis |
OSDI | 8 |
| 2019 | Snap: a microkernel approach to host networkingabstractThis paper presents our design and experience with a microkernel-inspired approach to host networking called Snap. Snap is a userspace networking system that supports Google's rapidly evolving needs with flexible modules that implement a range of network functions, including edge packet switching, virtualization for our cloud platform, traffic shaping policy enforcement, and a high-performance reliable messaging and RDMA-like service. Snap has been running in production for over three years, supporting the extensible communication needs of several large and critical systems. Michael Marty, Marc de Kruijf, Jacob Adriaens, Christopher Alfeld, Sean Bauer, Carlo Contavalli, Michael Dalton, Nandita Dukkipati, William C. Evans, Steve D. Gribble, Nicholas Kidd, Roman Kononov, Gautam Kumar 0001, Carl Mauer, Emily Musick, Lena E. Olson, Erik Rubow, Michael Ryan, Kevin Springborn, Valas Valancius, Amin Vahdat |
SOSP | 6 |
| 2017 | Carousel: Scalable Traffic Shaping at End HostsabstractTraffic shaping, including pacing and rate limiting, is fundamental to the correct and efficient operation of both datacenter and wide area networks. Sample use cases include policy-based bandwidth allocation to flow aggregates, rate-based congestion control algorithms, and packet pacing to avoid bursty transmissions that can overwhelm router buffers. Driven by the need to scale to millions of flows and to apply complex policies, traffic shaping is moving from network switches into the end hosts, typically implemented in software in the kernel networking stack. Ahmed Saeed 0001, Nandita Dukkipati, Vytautas Valancius, Vinh The Lam, Carlo Contavalli, Amin Vahdat |
SIGCOMM | 5 |
| 2016 | Maglev: A Fast and Reliable Software Network Load Balancer
Danielle E. Eisenbud, Carlo Contavalli, Cody Smith, Roman Kononov, Eric Mann-Hielscher, Ardas Cilingiroglu, Bin Cheyney, Wentao Shang, Jinnah Dylan Hosein |
NSDI | 3 |