License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECRTS.2018.24
URN: urn:nbn:de:0030-drops-89795
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8979/
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Wägemann, Peter ; Dietrich, Christian ; Distler, Tobias ; Ulbrich, Peter ; Schröder-Preikschat, Wolfgang

Whole-System Worst-Case Energy-Consumption Analysis for Energy-Constrained Real-Time Systems

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LIPIcs-ECRTS-2018-24.pdf (0.8 MB)

Abstract

Although internal devices (e.g., memory, timers) and external devices (e.g., transceivers, sensors) significantly contribute to the energy consumption of an embedded real-time system, their impact on the worst-case response energy consumption (WCRE) of tasks is usually not adequately taken into account. Most WCRE analysis techniques, for example, only focus on the processor and therefore do not consider the energy consumption of other hardware units. Apart from that, the typical approach for dealing with devices is to assume that all of them are always activated, which leads to high WCRE overestimations in the general case where a system switches off the devices that are currently not needed in order to minimize energy consumption.
In this paper, we present SysWCEC, an approach that addresses these problems by enabling static WCRE analysis for entire real-time systems, including internal as well as external devices. For this purpose, SysWCEC introduces a novel abstraction, the power-state-transition graph, which contains information about the worst-case energy consumption of all possible execution paths. To construct the graph, SysWCEC decomposes the analyzed real-time system into blocks during which the set of active devices in the system does not change and is consequently able to precisely handle devices being dynamically activated or deactivated.

BibTeX - Entry

@InProceedings{wgemann_et_al:LIPIcs:2018:8979,
  author =	{Peter W{\"a}gemann and Christian Dietrich and Tobias Distler and Peter Ulbrich and Wolfgang Schr{\"o}der-Preikschat},
  title =	{{Whole-System Worst-Case Energy-Consumption Analysis for Energy-Constrained Real-Time Systems}},
  booktitle =	{30th Euromicro Conference on Real-Time Systems (ECRTS 2018)},
  pages =	{24:1--24:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-075-0},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{106},
  editor =	{Sebastian Altmeyer},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8979},
  URN =		{urn:nbn:de:0030-drops-89795},
  doi =		{10.4230/LIPIcs.ECRTS.2018.24},
  annote =	{Keywords: energy-constrained real-time systems, worst-case energy consumption (WCEC), worst-case response energy consumption (WCRE), static whole-system analysi}
}

Keywords: energy-constrained real-time systems, worst-case energy consumption (WCEC), worst-case response energy consumption (WCRE), static whole-system analysi
Collection: 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)
Issue Date: 2018
Date of publication: 22.06.2018
Supplementary Material: ECRTS Artifact Evaluation approved artifact available at https://dx.doi.org/10.4230/DARTS.4.2.7, Source code of SysWCEC available at https://gitlab.cs.fau.de/syswcec

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