Name
Abstract | ||
|---|---|---|
Modeling and analysis of timing information are essential to the design of real-time systems. In this domain, research related to probabilistic analysis is motivated by the desire to refine results obtained using worst-case analysis for systems in which the worst-case scenario is not the only relevant one, such as soft real-time systems. This paper presents an overview of the existing solutions for probabilistic timing analysis, focusing on challenges they have to face. We discuss in particular two new trends toward Probabilistic Real-Time Calculus and Typical-Case Analysis which rise to some of these challenges. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/DATE.2012.6176605 | DATE |
Keywords | Field | DocType |
probabilistic real-time calculus,soft real-time system,probabilistic timing analysis,worst-case analysis,worst-case scenario,new trend,typical-case analysis,existing solution,timing information,real-time system,probability,calculus,real time systems,timing analysis,probabilistic logic,stochastic processes,probabilistic analysis,real time,stochastic process,stochastic analysis | Computer science,Stochastic process,Theoretical computer science,Probabilistic analysis of algorithms,Probabilistic logic,Probabilistic timing analysis | Conference |
ISSN | Citations | PageRank |
1530-1591 | 4 | 0.48 |
References | Authors | |
24 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Quinton | 1 | 4 | 0.48 |
| R. Ernst | 2 | 80 | 8.11 |
| D. Bertrand | 3 | 4 | 0.48 |
| P. Meumeu Yomsi | 4 | 4 | 0.82 |