Demo Data from VLDB 2026 / reviewers in the wild / expert
Seunggon Kim
dblp:213/8299
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 · 64% Performance modeling and evaluation · 28% GPUs and heterogeneous computing · 8% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
automotive systems |
0.3 | 1 | 2017 | Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive Systems · RTSS 2017 |
Embedded and real-time systems
cyber-physical systems |
0.3 | 1 | 2017 | Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive Systems · RTSS 2017 |
Performance modeling and evaluation
simulation |
0.3 | 1 | 2017 | Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive Systems · RTSS 2017 |
GPUs and heterogeneous computing
preemption |
0.1 | 1 | 2017 | Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive Systems · RTSS 2017 |
Embedded and real-time systems
real-time scheduling |
0.1 | 1 | 2017 | Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive Systems · RTSS 2017 |
Methods — techniques the papers use, named apart from their topics
scheduling · 0.3discrete-event simulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive SystemsabstractThe current simulation tools used in the automotive industry do not correctly model timing behaviors of cyber-systems such as varying execution times and preemptions. Thus, they cannot correctly predict the real control performance. Motivated by this limitation, this paper proposes functionally and temporally correct simulation for the cyber-side of an automotive system. The key idea is to keep the data and time correctness only at physical interaction points and enjoy freedom of scheduling simulated jobs for all other cases. This way, the proposed approach significantly improves the real-time simulation capacity of the state-of-the-art simulation methods while keeping the functional and temporal correctness. Kyoung-Soo We, Seunggon Kim, Chang-Gun Lee |
RTSS | 2 |