Demo Data from EDBT 2026 / reviewers in the wild / expert
Javier Escribá
dblp:66/1128
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 |
Performance modeling and evaluation · 87% Hardware reliability and fault tolerance · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation
markov models |
0.0 | 1 | 1996 | Efficient Exploration of Availability Models Guided by Failure Distances · SIGMETRICS 1996 |
Performance modeling and evaluation
state space exploration |
0.0 | 1 | 1996 | Efficient Exploration of Availability Models Guided by Failure Distances · SIGMETRICS 1996 |
Hardware reliability and fault tolerance
dependability analysis |
0.0 | 1 | 1996 | Efficient Exploration of Availability Models Guided by Failure Distances · SIGMETRICS 1996 |
Methods — techniques the papers use, named apart from their topics
state space exploration · 0.0bounding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Efficient Exploration of Availability Models Guided by Failure DistancesabstractRecently, a method to bound the steady-state availability using the failure distance concept has been proposed. In this paper we refine that method by introducing state space exploration techniques. In the methods proposed here, the state space is incrementally generated based on the contributions to the steady-state availability band of the states in the frontier of the currently generated state space. Several state space exploration algorithms are evaluated in terms of bounds quality and memory and CPU time requirements. The more efficient seems to be a waved algorithm which expands transition groups. We compare our new methods with the method based on the failure distance concept without state exploration and a method proposed by Souza e Silva and Ochoa which uses state space exploration but does not use the failure distance concept. Using typical examples we show that the methods proposed here can be significantly more efficient than any of the previous methods. Juan A. Carrasco, Javier Escribá, Angel Calderón |
SIGMETRICS | 2 |