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Evolution-based scheduling of fault-tolerant programs on multiple processors

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Parallel and Distributed Processing (IPPS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1586))

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Abstract

The paper introduces a family of scheduling problems called fault-tolerant programs scheduling (FTPS). Since FTPS problems are, in general, computationally difficult, a challenge is to find effective scheduling procedures. Three evolution-based algorithms solving three basic kinds of FTPS problems have been proposed. The problems involve scheduling multiple variant tasks on multiple identical processors under time constraints. To validate the algorithms computational experiment has been carried. Experiment results show that evolution based algorithms produce satisfactory to good solutions in reasonable time.

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Author information

Authors and Affiliations

  1. Gdynia Maritime Academy, ul. Morska 83, 81-225, Gdynia, Poland

    Piotr Jedrzejowicz (Chair of Computer Science), Ireneusz Czarnowski, Henryk Szreder & Aleksander Skakowski

Authors
  1. Piotr Jedrzejowicz
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  2. Ireneusz Czarnowski
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  3. Henryk Szreder
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  4. Aleksander Skakowski
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Editor information

José Rolim Frank Mueller Albert Y. Zomaya Fikret Ercal Stephan Olariu Binoy Ravindran Jan Gustafsson Hiroaki Takada Ron Olsson Laxmikant V. Kale Pete Beckman Matthew Haines Hossam ElGindy Denis Caromel Serge Chaumette Geoffrey Fox Yi Pan Keqin Li Tao Yang G. Chiola G. Conte L. V. Mancini Domenique Méry Beverly Sanders Devesh Bhatt Viktor Prasanna

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© 1999 Springer-Verlag

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Jedrzejowicz, P., Czarnowski, I., Szreder, H., Skakowski, A. (1999). Evolution-based scheduling of fault-tolerant programs on multiple processors. In: Rolim, J., et al. Parallel and Distributed Processing. IPPS 1999. Lecture Notes in Computer Science, vol 1586. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0097902

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  • DOI: https://doi.org/10.1007/BFb0097902

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65831-3

  • Online ISBN: 978-3-540-48932-0

  • eBook Packages: Springer Book Archive

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