Challenges and new trends in probabilistic timing analysis

  • Authors:
  • S. Quinton;R. Ernst;D. Bertrand;P. Meumeu Yomsi

  • Affiliations:
  • IDA - TU Braunschweig, Braunschweig, Germany;IDA - TU Braunschweig, Braunschweig, Germany;EPI TRIO - INRIA Nancy Grand-Est, Botanique, France;EPI TRIO - INRIA Nancy Grand-Est, Botanique, France

  • Venue:
  • DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.