Automated Selection of Energy-efficient Operating System Configurations
Herzog B, Hügel F, Reif S, Hönig T, Schröder-Preikschat W (2021)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2021
Publisher: Association for Computing Machinery
City/Town: New York, NY, USA
Pages Range: 309-315
Conference Proceedings Title: e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems
Event location: Virtual Event, Italy
ISBN: 9781450383332
Abstract
Edge computing systems need to use their available resources ef- ficiently. Operating systems and run-time systems offer numer- ous configuration parameters to fine-tune their behaviour, which are adjustable to balance the execution time and energy demand of applications. However, the number of parameters produces a vast space of possible configurations and the exact consequences on non-functional properties are often poorly documented. Thus, identifying efficient configurations proves challenging.
This paper presents PolaR, an approach for the automated de- termination of energy-efficient configurations, as well as an im- plementation for Linux. PolaR combines application profiles and system-level information to select efficient configurations dynami- cally and does not require application changes. Configurations are predicted by an oracle either based on linear models or neural net- works. Our evaluation shows that PolaR improves the mean en- ergy efficiency by 11.5 % for typical applications.
Authors with CRIS profile
Benedict Herzog
Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)
Stefan Reif
Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)
Wolfgang Schröder-Preikschat
Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)
Involved external institutions
Germany (DE)How to cite
APA:
Herzog, B., Hügel, F., Reif, S., Hönig, T., & Schröder-Preikschat, W. (2021). Automated Selection of Energy-efficient Operating System Configurations. In e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems (pp. 309-315). Virtual Event, Italy: New York, NY, USA: Association for Computing Machinery.
MLA:
Herzog, Benedict, et al. "Automated Selection of Energy-efficient Operating System Configurations." Proceedings of the 2nd International Workshop on Energy-Efficient Learning at the Edge, Virtual Event, Italy New York, NY, USA: Association for Computing Machinery, 2021. 309-315.
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