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Exploring ways to improve reuse between Industrial Embedded Systems and Discrete Event Simulators
Industrial Systems, RISE Research Institutes Of Sweden AB, Västerås, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2419-2735
Epiroc Rock Drills AB, Örebro, Sweden.
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2021 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Industrial real-time software is commonly evaluated on real embedded systems, while simulators are less used, since the abstraction level and purpose vary with for example, different programming languages and run-time contexts. This paper extends, applies, and evaluates previous work on a flexible task design that improve code reuse between discrete event simulators and embedded real-time systems. The paper focuses on two parts: (i) The performance cost of the proposed design in practice, by comparing the flexible task design with a traditional threaded approach. (ii) The potential of an alternative way to support legacy code in combination with discrete event simulation. The experiments indicate an almost negligible performance cost with respect to the real-time behavior, i.e., latency and jitter, while enabling improved code reuse between discrete event simulation and industrial embedded real-time systems. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
Flexibility, Real-time, Reusability, Run-time context, Software development, Task design, Computer software reusability, Digital control systems, Discrete event simulation, Embedded systems, Interactive computer systems, Real time systems, Simulators, Software design, Code reuse, Discrete-event simulators, Embedded real time systems, Embedded-system, Real- time, Runtimes, Time contexts
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-57102DOI: 10.1109/ETFA45728.2021.9613289ISI: 000766992600064Scopus ID: 2-s2.0-85122967413ISBN: 9781728129891 (electronic)OAI: oai:DiVA.org:mdh-57102DiVA, id: diva2:1640393
Conference
26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021, 7 September 2021 through 10 September 2021
Available from: 2022-02-24 Created: 2022-02-24 Last updated: 2022-06-07Bibliographically approved

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Åkerberg, JohanBjörkman, Mats

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