EDBT 2026 Demo / reviewers in the wild / expert
Megan Elmore
dblp:63/1825
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Applied, interdisciplinary, general and emerging computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Computer networks
1 paper |
Routing and switching · 87% Network performance modeling · 13% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › population genetics
ancestry inference |
0.1 | 1 | 2012 | Ancestry Inference in Complex Admixtures via Variable-Length Markov Chain Linkage Models · RECOMB 2012 |
Bioinformatics and computational biology
population genetics |
0.1 | 1 | 2012 | Ancestry Inference in Complex Admixtures via Variable-Length Markov Chain Linkage Models · RECOMB 2012 |
Bioinformatics and computational biology › sequence analysis › sequence modeling
variable-length markov chain |
0.1 | 1 | 2012 | Ancestry Inference in Complex Admixtures via Variable-Length Markov Chain Linkage Models · RECOMB 2012 |
Routing and switching › routing protocol
intra-domain routing |
0.1 | 1 | 2008 | Path splicing · SIGCOMM 2008 |
Routing and switching › routing
routing primitives |
0.1 | 1 | 2008 | Path splicing · SIGCOMM 2008 |
Network performance modeling
network reliability |
0.0 | 1 | 2008 | Path splicing · SIGCOMM 2008 |
Methods — techniques the papers use, named apart from their topics
markov chain linkage model · 0.1simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Ancestry Inference in Complex Admixtures via Variable-Length Markov Chain Linkage Models
Sivan Bercovici, Jesse M. Rodriguez, Megan Elmore, Serafim Batzoglou |
RECOMB | 3 |
| 2008 | Path splicingabstractWe present path splicing, a new routing primitive that allows network paths to be constructed by combining multiple routing trees ("slices") to each destination over a single network topology. Path splicing allows traffic to switch trees at any hop en route to the destination. End systems can change the path on which traffic is forwarded by changing a small number of additional bits in the packet header. We evaluate path splicing for intradomain routing using slices generated from perturbed link weights and find that splicing achieves reliability that approaches the best possible using a small number of slices, for only a small increase in latency and no adverse effects on traffic in the network. In the case of interdomain routing, where splicing derives multiple trees from edges in alternate backup routes, path splicing achieves near-optimal reliability and can provide significant benefits even when only a fraction of ASes deploy it. We also describe several other applications of path splicing, as well as various possible deployment paths. Murtaza Motiwala, Megan Elmore, Nick Feamster, Santosh S. Vempala |
SIGCOMM | 2 |