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A New Way about using Statistical Analysis of Worst-Case Execution Times
Publication Type:
Conference/Workshop Paper
Venue:
23rd EUROMICRO Conference on Real-Time Systems (ECRTS11), Work-in-Progress (WiP) session
Abstract
In this paper, we revisit the problem of using Extreme Value Theory (EVT) in the Worst-Case Execution Time (WCET) analysis of the programs running on a single processor. Our proposed statistical WCET analysis method
consists of a novel sampling mechanism tackling with some problems that hindered the application of using EVT in the context, and a statistical inference about computation of a
WCET estimate of the target program. To be specific, the presented sampling mechanism takes analysis samples from
the target program based around end-to-end measurements. Next, the statistical inference using EVT together with other statistical techniques, analyzes such timing traces which contain the execution time data of the program, to compute a WCET estimate with a certain predictable probability of being exceeded.
Bibtex
@inproceedings{Lu2120,
author = {Yue Lu and Thomas Nolte and Iain Bate and Liliana Cucu-Grosjean},
title = {A New Way about using Statistical Analysis of Worst-Case Execution Times},
month = {July},
year = {2011},
booktitle = {23rd EUROMICRO Conference on Real-Time Systems (ECRTS11), Work-in-Progress (WiP) session},
url = {http://www.es.mdu.se/publications/2120-}
}