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A Probabilistic Framework for Schedulability Analysis

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Embedded Software (EMSOFT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2855))

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Abstract

The limitations of the deterministic formulation of scheduling are outlined and a probabilistic approach is motivated. A number of models are reviewed with one being chosen as a basic framework. Response-time analysis is extended to incorporate a probabilistic characterisation of task arrivals and execution times. Copulas are used to represent dependencies.

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Author information

Authors and Affiliations

  1. Real-Time Systems Research Group, Department of Computer Science, University of York, UK

    Alan Burns, Guillem Bernat & Ian Broster

Authors
  1. Alan Burns
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  2. Guillem Bernat
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  3. Ian Broster
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Editor information

Editors and Affiliations

  1. University of Pennsylvania,  

    Rajeev Alur

  2. School of Engineering and Applied Science, Department of Computer and Information Science, University of Pennsylvania, Levine Hall, Room 602, 3330 Walnut Street, PA 19104-6389, Philadelphia, USA

    Insup Lee

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© 2003 Springer-Verlag Berlin Heidelberg

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Burns, A., Bernat, G., Broster, I. (2003). A Probabilistic Framework for Schedulability Analysis. In: Alur, R., Lee, I. (eds) Embedded Software. EMSOFT 2003. Lecture Notes in Computer Science, vol 2855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45212-6_1

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  • DOI: https://doi.org/10.1007/978-3-540-45212-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20223-3

  • Online ISBN: 978-3-540-45212-6

  • eBook Packages: Springer Book Archive

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