Demo Data from EDBT 2026 / reviewers in the wild / expert
Daniel Lapine
dblp:270/5356 · also Dan Lapine
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
0009-0002-4361-2093ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware reliability and fault tolerance · 50% Distributed systems · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › reliability modeling
failure modeling |
0.1 | 1 | 2011 | Modeling and tolerating heterogeneous failures in large parallel systems · SC 2011 |
Distributed systems
fault tolerance |
0.1 | 1 | 2011 | Modeling and tolerating heterogeneous failures in large parallel systems · SC 2011 |
Methods — techniques the papers use, named apart from their topics
failure modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Modeling and tolerating heterogeneous failures in large parallel systemsabstractAs supercomputers and clusters increase in size and complexity, system failures are inevitable. Different hardware components (such as memory, disk, or network) of such systems can have different failure rates. Prior works assume failures equally affect an application, whereas our goal is to provide failure models for applications that reflect their specific component usage. This is challenging because component failure dynamics are heterogeneous in space and time. Eric M. Heien, Derrick Kondo, Ana Gainaru, Daniel Lapine, William T. Kramer, Franck Cappello |
SC | 4 |