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Javier Escribá

dblp:66/1128 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
markov models
0.011996
Efficient Exploration of Availability Models Guided by Failure Distances · SIGMETRICS 1996
Performance modeling and evaluation
state space exploration
0.011996
Efficient Exploration of Availability Models Guided by Failure Distances · SIGMETRICS 1996
Hardware reliability and fault tolerance
dependability analysis
0.011996
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
YearPublicationVenuePosition
1996 Efficient Exploration of Availability Models Guided by Failure Distances
abstract
Recently, 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
SIGMETRICS2