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International Conference on Parallel Processing and Applied Mathematics

PPAM 2001: Parallel Processing and Applied Mathematics pp 369–376Cite as

DDG Task Recovery for Cluster Computing

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

Abstract

This paper presents a solution for the problem of transparent recovery of asynchronous distributed computation on clusters of workstations when a fault occurs on a node. If the system has fault-tolerant features, it can survive the fault and continues its computations. Performance degradation is unavoidable when hardware redundancies are not available. It is a large advantage if the long-runtime application can restart from a checkpoint instead of restarting whole computation. This paper presents the fault-tolerant feature of the DDG environment oriented to cluster systems without hardware spare.

This work is supported by the Slovak Scientific Grant Agency within Research Project No. 2/7186/20

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References

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Author information

Authors and Affiliations

  1. SAS, Institute of Informatics, Dubravska cesta 9, 84237, Bratislava, Slovakia

    G. T. Nguyen, L. Hluchy & V. D. Tran

  2. Department of Computer Science, STU, Ilkovicova 3, 81219, Bratislava, Slovakia

    M. Kotocova

Authors
  1. G. T. Nguyen
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  2. L. Hluchy
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  3. V. D. Tran
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  4. M. Kotocova
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Technical University of Czestochowa, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, 122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

  3. Computer Science Department, Oklahoma State University, 700 N. Greenwood Ave., Tulsa, OK, 74106, USA

    Marcin Paprzycki

  4. DTU, UNI-C, Danish Computing Centre for Research and Education, Bldg. 304, 2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2002 Springer-Verlag Berlin Heidelberg

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Cite this paper

Nguyen, G.T., Hluchy, L., Tran, V.D., Kotocova, M. (2002). DDG Task Recovery for Cluster Computing. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_41

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  • DOI: https://doi.org/10.1007/3-540-48086-2_41

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

  • eBook Packages: Springer Book Archive

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