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DOI: 10.4230/OASIcs.WCET.2016.4

Continuous Non-Intrusive Hybrid WCET Estimation Using Waypoint Graphs

Authors: Boris Dreyer, Christian Hochberger, Alexander Lange, Simon Wegener, and Alexander Weiss

Published in: OASIcs, Volume 55, 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016)

Abstract

Traditionally, the Worst-Case Execution Time (WCET) of Embedded Software has been estimated using analytical approaches. This is effective, if good models of the processor/System-on-Chip (SoC) architecture exist. Unfortunately, modern high performance SoCs often contain unpredictable and/or undocumented components that influence the timing behaviour. Thus, analytical results for such processors are unrealistically pessimistic. One possible alternative approach seems to be hybrid WCET analysis, where measurement data together with an analytical approach is used to estimate worst-case behaviour. Previously, we demonstrated how continuous evaluation of basic block trace data can be used to produce detailed statistics of basic blocks in embedded software. In the meantime it has become clear that the trace data provided by modern SoCs delivers a different type of information. In this contribution, we show that even under realistic conditions, a meaningful analysis can be conducted with the trace data.

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Boris Dreyer, Christian Hochberger, Alexander Lange, Simon Wegener, and Alexander Weiss. Continuous Non-Intrusive Hybrid WCET Estimation Using Waypoint Graphs. In 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016). Open Access Series in Informatics (OASIcs), Volume 55, pp. 4:1-4:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{dreyer_et_al:OASIcs.WCET.2016.4,
  author =	{Dreyer, Boris and Hochberger, Christian and Lange, Alexander and Wegener, Simon and Weiss, Alexander},
  title =	{{Continuous Non-Intrusive Hybrid WCET Estimation Using Waypoint Graphs}},
  booktitle =	{16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016)},
  pages =	{4:1--4:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-025-5},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{55},
  editor =	{Schoeberl, Martin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2016.4},
  URN =		{urn:nbn:de:0030-drops-68977},
  doi =		{10.4230/OASIcs.WCET.2016.4},
  annote =	{Keywords: Hybrid Worst-Case Execution Time (WCET) Estimation for Multicore Processors, Real-time Systems}
}

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Continuous Non-Intrusive Hybrid WCET Estimation Using Waypoint Graphs

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