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Optimization of Real-Time Multicore Systems Reached by a Genetic Algorithm Approach for Runnable Sequencing

  • The deployment of complex real-time systems with everyday increasing demands and possibilities, is a challenging task for engineers when performance and efficiency have to be maximized while cost have to be minimized at the same time. For already designed systems it became necessary to perform different modifications in order to find optimal software architecture configuration by respecting all timing constraints which are essential when speaking of real-time systems. In this work, we present a model-based approach of optimizing the execution sequence of runnables within tasks in order to reduce the system's reaction times by improving the overall signal flow duration. Hereby, a genetic optimization algorithm is used to create and evaluate multiple solutions for the runnable sequencing problem. We conclude by demonstration the efficiency of the presented approach with experimental results.

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Metadaten
Author:Erna Oklapi, Michael Deubzer, Stefan Schmidhuber, Erjola Lalo, Jürgen MottokORCiDGND
DOI:https://doi.org/10.1109/AE.2014.7011709
Parent Title (English):2014 International Conference on Applied Electronics, Pilsen, Czech Republic
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2014
Release Date:2021/03/01
Tag:embedded real-time systems; genetic algorithms; multi-core; optimization; runnable sequencing
First Page:233
Last Page:238
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
Begutachtungsstatus:peer-reviewed
research focus:Digitalisierung