EDBT 2026 Demo / reviewers in the wild / expert
Frank C. Uyeda
dblp:198/5712
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2011
0000-0002-1551-9708ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 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
2 papers |
Network measurement and analytics · 56% Internet architecture and protocols · 44% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics
bandwidth estimation |
0.1 | 1 | 2011 | Efficiently Measuring Bandwidth at All Time Scales · NSDI 2011 |
Distributed systems › distributed coordination
set reconciliation |
0.1 | 1 | 2011 | What's the difference?: efficient set reconciliation without prior context · SIGCOMM 2011 |
Network measurement and analytics › bandwidth estimation
available bandwidth estimation |
0.0 | 1 | 2011 | Efficiently Measuring Bandwidth at All Time Scales · NSDI 2011 |
Methods — techniques the papers use, named apart from their topics
packet timing analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Efficiently Measuring Bandwidth at All Time Scales
Frank C. Uyeda, Luca Foschini 0002, Fred Baker, Subhash Suri, George Varghese |
NSDI | 1 |
| 2011 | What's the difference?: efficient set reconciliation without prior contextabstractWe describe a synopsis structure, the Difference Digest, that allows two nodes to compute the elements belonging to the set difference in a single round with communication overhead proportional to the size of the difference times the logarithm of the keyspace. While set reconciliation can be done efficiently using logs, logs require overhead for every update and scale poorly when multiple users are to be reconciled. By contrast, our abstraction assumes no prior context and is useful in networking and distributed systems applications such as trading blocks in a peer-to-peer network, and synchronizing link-state databases after a partition. David Eppstein, Michael T. Goodrich, Frank C. Uyeda, George Varghese |
SIGCOMM | 3 |