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Carlo Contavalli

dblp:197/7109 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
datacenter network
0.622019
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
0.412019
Snap: a microkernel approach to host networking · SOSP 2019
Cloud and datacenter computing
userspace networking
0.412019
Snap: a microkernel approach to host networking · SOSP 2019
Transport protocols and congestion control › rate control
packet pacing
0.312017
Carousel: Scalable Traffic Shaping at End Hosts · SIGCOMM 2017
Internet architecture and protocols
traffic shaping
0.312017
Carousel: Scalable Traffic Shaping at End Hosts · SIGCOMM 2017
Operating systems › kernel › kernel design › microkernel
microkernel design
0.112019
Snap: a microkernel approach to host networking · SOSP 2019
Network optimization and economics › resource allocation
bandwidth allocation
0.112017
Carousel: Scalable Traffic Shaping at End Hosts · SIGCOMM 2017
Distributed systems
fault tolerance
0.112016
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
YearPublicationVenuePosition
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
OSDI8
2019 Snap: a microkernel approach to host networking
abstract
This 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
SOSP6
2017 Carousel: Scalable Traffic Shaping at End Hosts
abstract
Traffic 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
SIGCOMM5
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
NSDI3