Stack MMU: Dynamic stack sharing for embedded systems

Fabian Mauroner; Marcel Baunach

doi:10.1109/ETFA.2017.8247614

Stack MMU: Dynamic stack sharing for embedded systems

Fabian Mauroner, Marcel Baunach

Institut für Technische Informatik (4480)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

Real-time multi-tasking systems may require an individual stack for each task to fulfill all hard real-time requirements. However, these stacks may consume a huge memory space, even if not all stacks are simultaneously fully utilized. Thus, sharing currently unused stack space may improve memory utilization as possible with Memory Management Units (MMUs). However, an MMU introduces temporal jitter to memory accesses, influencing the real-time behavior. In this work, we propose a new concept to share dynamically the complete available stack space across tasks. Thereby, every stack operation executes in a deterministic time, by giving the Microcontroller Unit (MCU) Operating System (OS)-awareness.

Originalsprache	englisch
Titel	2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers
Seiten	1-9
Seitenumfang	9
ISBN (elektronisch)	9781509065059
DOIs	https://doi.org/10.1109/ETFA.2017.8247614
Publikationsstatus	Veröffentlicht - 4 Jan. 2018
Veranstaltung	22nd IEEE International Conference on Emerging Technologies and Factory Automation: ETFA 2017 - Grand Resort Hotel, Limassol, Zypern Dauer: 12 Sept. 2017 → 15 Sept. 2017 https://etfa2017.org/

Konferenz

Konferenz	22nd IEEE International Conference on Emerging Technologies and Factory Automation
Land/Gebiet	Zypern
Ort	Limassol
Zeitraum	12/09/17 → 15/09/17
Internetadresse	https://etfa2017.org/

ASJC Scopus subject areas

Elektrotechnik und Elektronik
Steuerungs- und Systemtechnik
Wirtschaftsingenieurwesen und Fertigungstechnik
Angewandte Informatik

Zugriff auf Dokument

10.1109/ETFA.2017.8247614

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http://www.scopus.com/inward/record.url?scp=85044460936&partnerID=8YFLogxK

Dieses zitieren

Mauroner, F & Baunach, M 2018, Stack MMU: Dynamic stack sharing for embedded systems. in 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017. Institute of Electrical and Electronics Engineers, S. 1-9, 22nd IEEE International Conference on Emerging Technologies and Factory Automation, Limassol, Zypern, 12/09/17. https://doi.org/10.1109/ETFA.2017.8247614

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title = "Stack MMU: Dynamic stack sharing for embedded systems",

abstract = "Real-time multi-tasking systems may require an individual stack for each task to fulfill all hard real-time requirements. However, these stacks may consume a huge memory space, even if not all stacks are simultaneously fully utilized. Thus, sharing currently unused stack space may improve memory utilization as possible with Memory Management Units (MMUs). However, an MMU introduces temporal jitter to memory accesses, influencing the real-time behavior. In this work, we propose a new concept to share dynamically the complete available stack space across tasks. Thereby, every stack operation executes in a deterministic time, by giving the Microcontroller Unit (MCU) Operating System (OS)-awareness.",

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doi = "10.1109/ETFA.2017.8247614",

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Stack MMU: Dynamic stack sharing for embedded systems

Abstract

Konferenz

ASJC Scopus subject areas

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