Demo Data from EDBT 2026 / reviewers in the wild / expert
Dzevad Trumic
dblp:204/3437
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 |
Internet architecture and protocols · 50% Software-defined and programmable networks · 38% Routing and switching · 12% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols › overlay networks
application-aware routing |
0.3 | 1 | 2017 | Taking the Edge off with Espresso: Scale, Reliability and Programmability for Global Internet Peering · SIGCOMM 2017 |
Software-defined and programmable networks
SDN traffic engineering |
0.3 | 1 | 2017 | Taking the Edge off with Espresso: Scale, Reliability and Programmability for Global Internet Peering · SIGCOMM 2017 |
Internet architecture and protocols
peering |
0.1 | 1 | 2017 | Taking the Edge off with Espresso: Scale, Reliability and Programmability for Global Internet Peering · SIGCOMM 2017 |
Methods — techniques the papers use, named apart from their topics
host-based routing · 0.3commodity switches · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Taking the Edge off with Espresso: Scale, Reliability and Programmability for Global Internet PeeringabstractWe present the design of Espresso, Google's SDN-based Internet peering edge routing infrastructure. This architecture grew out of a need to exponentially scale the Internet edge cost-effectively and to enable application-aware routing at Internet-peering scale. Espresso utilizes commodity switches and host-based routing/packet processing to implement a novel fine-grained traffic engineering capability. Overall, Espresso provides Google a scalable peering edge that is programmable, reliable, and integrated with global traffic systems. Espresso also greatly accelerated deployment of new networking features at our peering edge. Espresso has been in production for two years and serves over 22% of Google's total traffic to the Internet. Kok-Kiong Yap, Murtaza Motiwala, Jeremy Rahe, Steve Padgett, Matthew J. Holliman, Gary Baldus, Marcus Hines, Taeeun Kim, Ashok Narayanan, Victor Lin, Colin Rice, Brian Rogan, Bert Tanaka, Manish Verma, Puneet Sood, Muhammad Mukarram Bin Tariq, Matt Tierney, Dzevad Trumic, Vytautas Valancius, Calvin Ying, Mahesh Kallahalla, Bikash Koley, Amin Vahdat |
SIGCOMM | 20 |