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Estimation of Worst Case Response Time Boundaries in Multi-Core Real-Time Systems

  • We address a novel probabilistic approach to estimate the Worst Case Response Time boundaries of tasks. Multi-core real-time systems process tasks in parallel on two or more cores. Tasks in our contribution may preempt other tasks, block tasks with semaphores to access global shared resources, or migrate to another core. The depicted task behavior is random. The shape of collected response times of a task within a processing time is multimodal. Extreme Value approaches need unimodal response time distributions to estimate the Worst Case Response Time of tasks. The new proposed method derives a set of three task set shapes from the source task set. It is used to minimize the uncertainty of random task behavior by maximizing the coverage of possible Worst Case Response Times. The case study evaluates the new proposed estimation method by the use of dynamically generated random tasks with varying task properties.

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Metadaten
Author:Matthias Mucha, Jürgen MottokORCiDGND, Stefan Krämer
DOI:https://doi.org/10.23919/ae.2017.8053598
ISBN:978-80-261-0641-8
ISSN:1803-7232
Parent Title (English):2017 International Conference on Applied Electronics (AE), 5-6 Sept. 2017, Pilsen
Publisher:IEEE
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2017
Release Date:2022/07/10
First Page:1
Last Page:6
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
Begutachtungsstatus:peer-reviewed
research focus:Energie und Mobilität
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG