Demo Data from EDBT 2026 / reviewers in the wild / expert
Walter Olds
dblp:26/1110
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 61% Distributed systems · 30% Performance modeling and evaluation · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
cyber-physical system platforms |
0.1 | 1 | 2007 | Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007 |
Embedded and real-time systems › real-time control
real-time distributed control |
0.1 | 1 | 2007 | Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007 |
Distributed systems › middleware
virtual execution environment |
0.1 | 1 | 2007 | Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007 |
Performance modeling and evaluation
simulation |
0.0 | 1 | 2007 | Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007 |
Methods — techniques the papers use, named apart from their topics
virtual execution platform · 0.1discrete-event simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System DevelopmentabstractA distributed real-time control system is modeled by au- tomatically generating a virtual execution platform and in- tegrating it with an abstract run-time model. This allows us to capture the dynamic effects of non-deterministic behavior of the underlying hardware and real-time operating system (RTOS), which cannot be accurately evaluated by existing static approaches. Our framework has been implemented and integrated with the existing AIRES toolkit. The con- struction of a virtual execution platform for a control appli- cation is observed to take 422ms. The integrated platform and control application consists of 56 software components connected by 1280 links for data exchanges and precedence relations, and the constructed platform executes the appli- cation at a normalized speed--defined as the ratio of simu- lation time to real time -- 10.6. Our preliminary evaluation has demonstrated the virtual execution platform's capabil- ity of providing accurate run-time information at a reason- able time-cost. Sangsoo Park, Walter Olds, Kang G. Shin, Shige Wang |
RTSS | 2 |