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Fault-Tolerant Scheduling in Distributed Real-Time Systems

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Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

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Abstract

Enhancing the reliability of a system executing real-time jobs is, in many cases, one of the most important design goals. A dynamic reconfigurable system offers an approach for improvement of reliability. To achieve high reliability, the most suitable recovery action must be used when a fault occurs, which means that some kind of optimal recovery strategy should be followed. In this paper, we suggest a method to analyze the schedulability of a task set in distributed systems and enhance the reliability of the systems.

This work was supported by the Slovak Scientific Grant Agency within Research Project No. 2/3132/23

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Author information

Authors and Affiliations

  1. Institute of Informatics, Slovak Academy of Sciences, Dubravska cesta 9, 845 07, Bratislava, Slovakia

    Nguyen Duc Thai

Authors
  1. Nguyen Duc Thai
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, TN 37996-3450, Knoxville, USA

    Jack Dongarra

  3. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Marcin Paprzycki

  4. Informatics & Mathematical Modeling, Technical University of Denmark, DK-2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2004 Springer-Verlag Berlin Heidelberg

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Thai, N.D. (2004). Fault-Tolerant Scheduling in Distributed Real-Time Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_17

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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