Title :
Challenges and new trends in probabilistic timing analysis
Author :
Quinton, S. ; Erns, R. ; Bertrand, D. ; Yomsi, P. Meumeu
Author_Institution :
IDA-TU Braunschweig, Braunschweig, Germany
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.
Keywords :
probability; real-time systems; timing; timing circuits; probabilistic real-time calculus; probabilistic timing analysis; soft real-time systems; timing information; typical-case analysis; worst-case analysis; worst-case scenario; Analytical models; Calculus; Probabilistic logic; Real time systems; Stochastic processes; Time factors; Timing; Probabilistic Real-Time Calculus; Real-time systems; Stochastic analysis; Typical-Case Analysis;
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012
Conference_Location :
Dresden
Print_ISBN :
978-1-4577-2145-8
DOI :
10.1109/DATE.2012.6176605
