Frank C. Uyeda

dblp:198/5712 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Network measurement and analytics
bandwidth estimation
0.112011
Efficiently Measuring Bandwidth at All Time Scales · NSDI 2011
Distributed systems › distributed coordination
set reconciliation
0.112011
What's the difference?: efficient set reconciliation without prior context · SIGCOMM 2011
Network measurement and analytics › bandwidth estimation
available bandwidth estimation
0.012011
Efficiently Measuring Bandwidth at All Time Scales · NSDI 2011

Methods — techniques the papers use, named apart from their topics

packet timing analysis · 0.1
YearPublicationVenuePosition
2011 Efficiently Measuring Bandwidth at All Time Scales
Frank C. Uyeda, Luca Foschini 0002, Fred Baker, Subhash Suri, George Varghese
NSDI1
2011 What's the difference?: efficient set reconciliation without prior context
abstract
We 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
SIGCOMM3