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

Institute of Technical Informatics (4480)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-9
Number of pages	9
ISBN (Electronic)	9781509065059
DOIs	https://doi.org/10.1109/ETFA.2017.8247614
Publication status	Published - 4 Jan 2018
Event	22nd IEEE International Conference on Emerging Technologies and Factory Automation: ETFA 2017 - Grand Resort Hotel, Limassol, Cyprus Duration: 12 Sep 2017 → 15 Sep 2017 https://etfa2017.org/

Conference

Conference	22nd IEEE International Conference on Emerging Technologies and Factory Automation
Country/Territory	Cyprus
City	Limassol
Period	12/09/17 → 15/09/17
Internet address	https://etfa2017.org/

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Industrial and Manufacturing Engineering
Computer Science Applications

Access to Document

10.1109/ETFA.2017.8247614

Cite this

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, pp. 1-9, 22nd IEEE International Conference on Emerging Technologies and Factory Automation, Limassol, Cyprus, 12/09/17. https://doi.org/10.1109/ETFA.2017.8247614

@inproceedings{f6ef8954fa164764869b4dbb544dbc64,

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.",

author = "Fabian Mauroner and Marcel Baunach",

year = "2018",

month = jan,

day = "4",

doi = "10.1109/ETFA.2017.8247614",

language = "English",

pages = "1--9",

booktitle = "2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "22nd IEEE International Conference on Emerging Technologies and Factory Automation : ETFA 2017 ; Conference date: 12-09-2017 Through 15-09-2017",

url = "https://etfa2017.org/",

}

TY - GEN

T1 - Stack MMU

T2 - 22nd IEEE International Conference on Emerging Technologies and Factory Automation

AU - Mauroner, Fabian

AU - Baunach, Marcel

PY - 2018/1/4

Y1 - 2018/1/4

N2 - 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.

AB - 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.

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

U2 - 10.1109/ETFA.2017.8247614

DO - 10.1109/ETFA.2017.8247614

M3 - Conference paper

AN - SCOPUS:85044460936

SP - 1

EP - 9

BT - 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017

PB - Institute of Electrical and Electronics Engineers

Y2 - 12 September 2017 through 15 September 2017

ER -

Stack MMU: Dynamic stack sharing for embedded systems

Abstract

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this