Memory-Aware Feedback Scheduling of Control Tasks
Robertz, Sven LU ; Henriksson, Dan LU and Cervin, Anton LU
(2006)
IEEE Conference on Emerging Technologies and Factory Automation (ETFA)
p.577-584
- Abstract
- This paper presents the incorporation of an auto-tuning real-time garbage collector into a feedback-based on-line scheduling system. The studied feedback scheduler is designed to dynamically adjust the sampling periods of a set of controller tasks in order to maximize the overall control performance. In the suggested approach, the memory management overhead is made explicit and taken into account by the feedback scheduler when scheduling the tasks. It is also described how priorities for memory allocations can be used to control the allocation rates of the application threads in order to optimize the trade-off between memory and CPU time usage. A case study, comparing theoretical analysis and simulated results support the feasibility of... (More)
- This paper presents the incorporation of an auto-tuning real-time garbage collector into a feedback-based on-line scheduling system. The studied feedback scheduler is designed to dynamically adjust the sampling periods of a set of controller tasks in order to maximize the overall control performance. In the suggested approach, the memory management overhead is made explicit and taken into account by the feedback scheduler when scheduling the tasks. It is also described how priorities for memory allocations can be used to control the allocation rates of the application threads in order to optimize the trade-off between memory and CPU time usage. A case study, comparing theoretical analysis and simulated results support the feasibility of the approach. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/628911
- author
- Robertz, Sven
LU
; Henriksson, Dan
LU
and Cervin, Anton
LU
- organization
- publishing date
- 2006
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 11th IEEE Conference on Emerging Technologies and Factory Automation
- pages
- 577 - 584
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE Conference on Emerging Technologies and Factory Automation (ETFA)
- conference location
- Prague, Czech Republic
- conference dates
- 2006-09-20 - 2006-09-22
- external identifiers
-
- wos:000246928500083
- scopus:50149102233
- ISBN
- 0-7803-9758-4
- DOI
- 10.1109/ETFA.2006.355423
- language
- English
- LU publication?
- yes
- id
- 1d92a4ac-23cc-4e54-b0e0-2285c00ef24c (old id 628911)
- date added to LUP
- 2016-04-04 10:15:30
- date last changed
- 2022-01-29 19:59:10
@inproceedings{1d92a4ac-23cc-4e54-b0e0-2285c00ef24c,
abstract = {{This paper presents the incorporation of an auto-tuning real-time garbage collector into a feedback-based on-line scheduling system. The studied feedback scheduler is designed to dynamically adjust the sampling periods of a set of controller tasks in order to maximize the overall control performance. In the suggested approach, the memory management overhead is made explicit and taken into account by the feedback scheduler when scheduling the tasks. It is also described how priorities for memory allocations can be used to control the allocation rates of the application threads in order to optimize the trade-off between memory and CPU time usage. A case study, comparing theoretical analysis and simulated results support the feasibility of the approach.}},
author = {{Robertz, Sven and Henriksson, Dan and Cervin, Anton}},
booktitle = {{Proceedings of the 11th IEEE Conference on Emerging Technologies and Factory Automation}},
isbn = {{0-7803-9758-4}},
language = {{eng}},
pages = {{577--584}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Memory-Aware Feedback Scheduling of Control Tasks}},
url = {{https://lup.lub.lu.se/search/files/5498314/8560424.pdf}},
doi = {{10.1109/ETFA.2006.355423}},
year = {{2006}},
}