License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.10071.14
URN: urn:nbn:de:0030-drops-25423
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2010/2542/
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Bini, Enrico ; Marko, Bertogna ; Baruah, Sanjoy K.

The Parallel Supply Function Abstraction for a Virtual Multiprocessor

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10071.BiniEnrico.Paper.2542.pdf (0.1 MB)


Abstract

A new abstraction --- the Parallel Supply Function (PSF) --- is
proposed for representing the computing capabilities offered by
virtual platforms implemented atop identical multiprocessors. It is
shown that this abstraction is strictly more powerful than
previously-proposed ones, from the perspective of more accurately
representing the inherent parallelism of the provided computing
capabilities. Sufficient tests are derived for determining whether
a given real-time task system, represented as a collection of
sporadic tasks, is guaranteed
to always meet all
deadlines when scheduled upon a specified virtual platform using the
global EDF scheduling algorithm.


BibTeX - Entry

@InProceedings{bini_et_al:DagSemProc.10071.14,
  author =	{Bini, Enrico and Marko, Bertogna and Baruah, Sanjoy K.},
  title =	{{The Parallel Supply Function Abstraction for a Virtual Multiprocessor}},
  booktitle =	{Scheduling},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10071},
  editor =	{Susanne Albers and Sanjoy K. Baruah and Rolf H. M\"{o}hring and Kirk Pruhs},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2010/2542},
  URN =		{urn:nbn:de:0030-drops-25423},
  doi =		{10.4230/DagSemProc.10071.14},
  annote =	{Keywords: Virtual multiprocessor}
}

Keywords: Virtual multiprocessor
Collection: 10071 - Scheduling
Issue Date: 2010
Date of publication: 03.05.2010


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