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.2017.8
URN: urn:nbn:de:0030-drops-71517
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7151/
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Singh, Abhishek ; Ekberg, Pontus ; Baruah, Sanjoy

Applying Real-Time Scheduling Theory to the Synchronous Data Flow Model of Computation

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Abstract

Schedulability analysis techniques that are well understood within the real-time scheduling community are applied to the analysis of recurrent real-time workloads that are modeled using the synchronous data-flow graph (SDFG) model. An enhancement to the standard SDFG model is proposed, that permits the specification of a real-time latency constraint between a specified input and a specified output of an SDFG. A technique is derived for transforming such an enhanced SDFG to a collection of traditional 3-parameter sporadic tasks, thereby allowing for the analysis of systems of SDFG tasks using the methods and algorithms that have previously been developed within the real-time scheduling community for the analysis of systems of such sporadic tasks. The applicability of this approach is illustrated by applying prior results from real-time scheduling theory to construct an exact preemptive uniprocessor schedulability test for collections of recurrent processes that are each represented using the enhanced SDFG model.

BibTeX - Entry

@InProceedings{singh_et_al:LIPIcs:2017:7151,
  author =	{Abhishek Singh and Pontus Ekberg and Sanjoy Baruah},
  title =	{{Applying Real-Time Scheduling Theory to the Synchronous Data Flow Model of Computation}},
  booktitle =	{29th Euromicro Conference on Real-Time Systems (ECRTS 2017)},
  pages =	{8:1--8:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-037-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{76},
  editor =	{Marko Bertogna},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7151},
  URN =		{urn:nbn:de:0030-drops-71517},
  doi =		{10.4230/LIPIcs.ECRTS.2017.8},
  annote =	{Keywords: Real-Time Systems, Synchronous Dataflow (SDF), Hard Real-Time Streaming Dataflow Applications, Algorithms}
}

Keywords: Real-Time Systems, Synchronous Dataflow (SDF), Hard Real-Time Streaming Dataflow Applications, Algorithms
Collection: 29th Euromicro Conference on Real-Time Systems (ECRTS 2017)
Issue Date: 2017
Date of publication: 23.06.2017

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