Demo Data from VLDB 2026 / reviewers in the wild / expert
Seb Boving
dblp:166/7086
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 |
Routing and switching · 44% Software-defined and programmable networks · 44% Datacenter networks · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks › control plane
centralized control |
0.2 | 1 | 2015 | Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google's Datacenter Network · SIGCOMM 2015 |
Routing and switching › switching networks › multistage interconnection network
clos network |
0.2 | 1 | 2015 | Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google's Datacenter Network · SIGCOMM 2015 |
Datacenter networks
datacenter routing |
0.1 | 1 | 2015 | Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google's Datacenter Network · SIGCOMM 2015 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google's Datacenter NetworkabstractWe present our approach for overcoming the cost, operational complexity, and limited scale endemic to datacenter networks a decade ago. Three themes unify the five generations of datacenter networks detailed in this paper. First, multi-stage Clos topologies built from commodity switch silicon can support cost-effective deployment of building-scale networks. Second, much of the general, but complex, decentralized network routing and management protocols supporting arbitrary deployment scenarios were overkill for single-operator, pre-planned datacenter networks. We built a centralized control mechanism based on a global configuration pushed to all datacenter switches. Third, modular hardware design coupled with simple, robust software allowed our design to also support inter-cluster and wide-area networks. Our datacenter networks run at dozens of sites across the planet, scaling in capacity by 100x over ten years to more than 1Pbps of bisection bandwidth. Joon Ong, Glen Anderson, Ashby Armistead, Roy Bannon, Seb Boving, Gaurav Desai, Bob Felderman, Paulie Germano, Anand Kanagala, Jeff Provost, Jason Simmons, Eiichi Tanda, Jim Wanderer, Urs Hölzle, Stephen Stuart, Amin Vahdat |
SIGCOMM | 7 |