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Deploying fault-tolerance and task migration with NetSolve

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Applied Parallel Computing Large Scale Scientific and Industrial Problems (PARA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1541))

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Abstract

Computational power grids are computing environments with massive resources for processing and storage. While these resources may be pervasive, harnessing them is a major challenge for the average user. NetSolve is a software environment that addresses this concern. A fundamental feature of NetSolve is its integration of fault-tolerance and task migration in a way that is transparent to the end user. In this paper, we discuss how NetSolve’s structure allows for the seamless integration of fault-tolerance and migration in grid applications, and present the specific approaches that have been and are currently being implemented within NetSolve.

This work was supported by the Applied Mathematical Sciences Research Programm, Office of Energy Research, U.S. Department of Energy, under contract DE-AL04-94AL85000 with Lockheed Martin Energy Research Corporation.

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Author information

Authors and Affiliations

  1. Computing Sciences Department, University fo Tennessee, 37996, Knoxville, TN

    James S. Plank, Henri Casanova, Micah Beck & Jack Dongarra

  2. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831-6367, Oak Ridge, TN

    Jack Dongarra

Authors
  1. James S. Plank
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  2. Henri Casanova
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  3. Micah Beck
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  4. Jack Dongarra
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Editor information

Bo Kågström Jack Dongarra Erik Elmroth Jerzy Waśniewski

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© 1998 Springer-Verlag Berlin Heidelberg

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Plank, J.S., Casanova, H., Beck, M., Dongarra, J. (1998). Deploying fault-tolerance and task migration with NetSolve. In: Kågström, B., Dongarra, J., Elmroth, E., Waśniewski, J. (eds) Applied Parallel Computing Large Scale Scientific and Industrial Problems. PARA 1998. Lecture Notes in Computer Science, vol 1541. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095364

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  • DOI: https://doi.org/10.1007/BFb0095364

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  • Print ISBN: 978-3-540-65414-8

  • Online ISBN: 978-3-540-49261-0

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