Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jennifer H. Lee

dblp:99/8832 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2010
—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
Network measurement and analytics · 77% Network performance modeling · 23%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics › network timing analysis
packet timing
0.112010
Exact temporal characterization of 10 Gbps optical wide-area network · Internet Measurement Conference 2010
Network performance modeling › packet loss
packet loss analysis
0.012010
Exact temporal characterization of 10 Gbps optical wide-area network · Internet Measurement Conference 2010

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

packet capture · 0.1high-precision instrumentation · 0.1
YearPublicationVenuePosition
2010 Exact temporal characterization of 10 Gbps optical wide-area network
abstract
We design and implement a novel class of highly precise network instrumentation and apply this tool to perform the first exact packet-timing measurements of a wide-area network ever undertaken, capturing 10 Gigabit Ethernet packets in flight on optical fiber. Through principled design, we improve timing precision by two to six orders of magnitude over existing techniques. Our observations contest several common assumptions about behavior of wide-area networks and the relationship between their input and output traffic flows. Further, we identify and characterize emergent packet chains as a mechanism to explain previously observed anomalous packet loss on receiver endpoints of such networks.
Daniel A. Freedman, Tudor Marian, Jennifer H. Lee, Kenneth P. Birman, Hakim Weatherspoon, Chris Xu
Internet Measurement Conference3