Power Optimization in Embedded Systems via Feedback Control of Resource Allocation
(2013) In IEEE Transactions on Control Systems Technology 21(1). p.239-246- Abstract
- Embedded systems often operate in so variable con- ditions that design can only be carried out for some worst-case scenario. This leads to over-provisioned resources, and undue power consumption. Feedback control is an effective (and not yet fully explored) way to tailor resource usage online, thereby making the system behave and consume as if it was optimized for each specific utilization case. A control-theoretical methodology is here proposed to complement architecture design in a view to said tailoring. Experimental results show that a so addressed architecture meets performance requirements, while consuming less power than any fixed (i.e., uncontrolled) one capable of attaining the same goals. Also, the methodology naturally induces... (More)
- Embedded systems often operate in so variable con- ditions that design can only be carried out for some worst-case scenario. This leads to over-provisioned resources, and undue power consumption. Feedback control is an effective (and not yet fully explored) way to tailor resource usage online, thereby making the system behave and consume as if it was optimized for each specific utilization case. A control-theoretical methodology is here proposed to complement architecture design in a view to said tailoring. Experimental results show that a so addressed architecture meets performance requirements, while consuming less power than any fixed (i.e., uncontrolled) one capable of attaining the same goals. Also, the methodology naturally induces computationally lightweight control laws. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3405348
- author
- Maggio, Martina LU ; Hoffmann, Henry ; Santambrogio, Marco Domenico ; Agarwal, Anant and Leva, Alberto
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Computing systems, control systems, embedded systems, power consumption, self-adaptive systems.
- in
- IEEE Transactions on Control Systems Technology
- volume
- 21
- issue
- 1
- pages
- 239 - 246
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:84871818936
- ISSN
- 1558-0865
- DOI
- 10.1109/TCST.2011.2177499
- language
- English
- LU publication?
- yes
- id
- 181ed0a6-a013-41f1-80c2-73afa559835a (old id 3405348)
- alternative location
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6111328
- date added to LUP
- 2016-04-01 13:04:48
- date last changed
- 2024-02-24 18:16:41
@article{181ed0a6-a013-41f1-80c2-73afa559835a, abstract = {{Embedded systems often operate in so variable con- ditions that design can only be carried out for some worst-case scenario. This leads to over-provisioned resources, and undue power consumption. Feedback control is an effective (and not yet fully explored) way to tailor resource usage online, thereby making the system behave and consume as if it was optimized for each specific utilization case. A control-theoretical methodology is here proposed to complement architecture design in a view to said tailoring. Experimental results show that a so addressed architecture meets performance requirements, while consuming less power than any fixed (i.e., uncontrolled) one capable of attaining the same goals. Also, the methodology naturally induces computationally lightweight control laws.}}, author = {{Maggio, Martina and Hoffmann, Henry and Santambrogio, Marco Domenico and Agarwal, Anant and Leva, Alberto}}, issn = {{1558-0865}}, keywords = {{Computing systems; control systems; embedded systems; power consumption; self-adaptive systems.}}, language = {{eng}}, number = {{1}}, pages = {{239--246}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Control Systems Technology}}, title = {{Power Optimization in Embedded Systems via Feedback Control of Resource Allocation}}, url = {{https://lup.lub.lu.se/search/files/3146935/3732115.pdf}}, doi = {{10.1109/TCST.2011.2177499}}, volume = {{21}}, year = {{2013}}, }