Back to Search Start Over

Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time

Authors :
Gil, Samuel
Bate, Iain
Lima, George
Santinelli, Luca
Gogonel, Adriana
Cucu-Grosjean, Liliana
University of York [York, UK]
Universidade Federal da Bahia (UFBA)
ONERA - The French Aerospace Lab [Toulouse]
ONERA
ONERA - The French Aerospace Lab [Mauzac]
Models and methods of analysis and optimization for systems with real-time and embedded contraints (AOSTE2 )
Inria de Paris
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Source :
IEEE Embedded Systems Letters, IEEE Embedded Systems Letters, Institute of Electrical and Electronics Engineers, 2017, 9 (3), p. 69-72. ⟨10.1109/LES.2017.2712858⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; The Worst-Case Execution Time (WCET) is a critical parameter describing the largest value for the execution time of programs. Even though such a parameter is very hard to attain, it is essential as part of guaranteeing a real-time system meets its timing requirements. The complexity of modern hardware has increased the challenges of statically analysing the WCET and reduced the reliability of purely measured the WCET. This has led to the emergence of probabilistic WCETs (pWCETs) analysis as a viable technique. The low probability of appearance of large execution times of a program has motivated the utilization of rare events theory like Extreme Value Theory (EVT). As pWCET estimation based on EVT has matured as a discipline, a number of open challenges have become apparent when applying the existing approaches. Our paper enumerates key challenges while establishing a state of the art of EVT-based pWCET estimation methods.

Details

Language :
English
ISSN :
19430663
Database :
OpenAIRE
Journal :
IEEE Embedded Systems Letters, IEEE Embedded Systems Letters, Institute of Electrical and Electronics Engineers, 2017, 9 (3), p. 69-72. ⟨10.1109/LES.2017.2712858⟩
Accession number :
edsair.od.......212..ef7ee10f1d46f41a6e2de8564a4bbd1f
Full Text :
https://doi.org/10.1109/LES.2017.2712858⟩