StackMMU: Dynamic Stack Sharing for Embedded Systems

Fabian Mauroner, Marcel Carsten Baunach

Publikation: KonferenzbeitragPaperBegutachtung

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.
Originalspracheenglisch
PublikationsstatusVeröffentlicht - 15 Sept. 2017
Veranstaltung22nd IEEE International Conference on Emerging Technologies and Factory Automation: ETFA 2017 - Grand Resort Hotel, Limassol, Zypern
Dauer: 12 Sept. 201715 Sept. 2017
https://etfa2017.org/

Konferenz

Konferenz22nd IEEE International Conference on Emerging Technologies and Factory Automation
Land/GebietZypern
OrtLimassol
Zeitraum12/09/1715/09/17
Internetadresse

Fields of Expertise

  • Information, Communication & Computing

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