Deploying fault-tolerance and task migration with NetSolve

James S. Plank; Henri Casanova; Micah Beck; Jack Dongarra

doi:10.1007/bfb0095364

Deploying fault-tolerance and task migration with NetSolve

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

Computer Science and Mathematics Div

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Applied Parallel Computing
Subtitle of host publication	Large Scale Scientific and Industrial Problems - 4th International Workshop, PARA 1998, Proceedings
Editors	Bo Kagstrom, Erik Elmroth, Jack Dongarra, Jerzy Wasniewski
Publisher	Springer Verlag
Pages	418-432
Number of pages	15
ISBN (Print)	3540654143, 9783540654148
DOIs	https://doi.org/10.1007/bfb0095364
State	Published - 1998
Event	4th International Workshop on Applied Parallel Computing, PARA 1998 - Umea, Sweden Duration: Jun 14 1998 → Jun 17 1998

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1541
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Workshop on Applied Parallel Computing, PARA 1998
Country/Territory	Sweden
City	Umea
Period	06/14/98 → 06/17/98

Funding

This material is based upon work supported by the National Science Foundation under grant CCR-9703390.

Access to Document

10.1007/bfb0095364

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Plank, J. S., Casanova, H., Beck, M., & Dongarra, J. (1998). Deploying fault-tolerance and task migration with NetSolve. In B. Kagstrom, E. Elmroth, J. Dongarra, & J. Wasniewski (Eds.), Applied Parallel Computing: Large Scale Scientific and Industrial Problems - 4th International Workshop, PARA 1998, Proceedings (pp. 418-432). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1541). Springer Verlag. https://doi.org/10.1007/bfb0095364

Plank, James S. ; Casanova, Henri ; Beck, Micah et al. / Deploying fault-tolerance and task migration with NetSolve. Applied Parallel Computing: Large Scale Scientific and Industrial Problems - 4th International Workshop, PARA 1998, Proceedings. editor / Bo Kagstrom ; Erik Elmroth ; Jack Dongarra ; Jerzy Wasniewski. Springer Verlag, 1998. pp. 418-432 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b7cffd5e6123491a96a104380a247818,

title = "Deploying fault-tolerance and task migration with NetSolve",

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{\textquoteright}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.",

author = "Plank, \{James S.\} and Henri Casanova and Micah Beck and Jack Dongarra",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 4th International Workshop on Applied Parallel Computing, PARA 1998 ; Conference date: 14-06-1998 Through 17-06-1998",

year = "1998",

doi = "10.1007/bfb0095364",

language = "English",

isbn = "3540654143",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Bo Kagstrom and Erik Elmroth and Jack Dongarra and Jerzy Wasniewski",

booktitle = "Applied Parallel Computing",

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Plank, JS, Casanova, H, Beck, M & Dongarra, J 1998, Deploying fault-tolerance and task migration with NetSolve. in B Kagstrom, E Elmroth, J Dongarra & J Wasniewski (eds), Applied Parallel Computing: Large Scale Scientific and Industrial Problems - 4th International Workshop, PARA 1998, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1541, Springer Verlag, pp. 418-432, 4th International Workshop on Applied Parallel Computing, PARA 1998, Umea, Sweden, 06/14/98. https://doi.org/10.1007/bfb0095364

Deploying fault-tolerance and task migration with NetSolve. / Plank, James S.; Casanova, Henri; Beck, Micah et al.
Applied Parallel Computing: Large Scale Scientific and Industrial Problems - 4th International Workshop, PARA 1998, Proceedings. ed. / Bo Kagstrom; Erik Elmroth; Jack Dongarra; Jerzy Wasniewski. Springer Verlag, 1998. p. 418-432 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1541).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Beck, Micah

AU - Dongarra, Jack

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1998.

PY - 1998

Y1 - 1998

N2 - 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.

AB - 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.

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DO - 10.1007/bfb0095364

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SN - 9783540654148

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Applied Parallel Computing

A2 - Kagstrom, Bo

A2 - Elmroth, Erik

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PB - Springer Verlag

T2 - 4th International Workshop on Applied Parallel Computing, PARA 1998

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Plank JS, Casanova H, Beck M, Dongarra J. Deploying fault-tolerance and task migration with NetSolve. In Kagstrom B, Elmroth E, Dongarra J, Wasniewski J, editors, Applied Parallel Computing: Large Scale Scientific and Industrial Problems - 4th International Workshop, PARA 1998, Proceedings. Springer Verlag. 1998. p. 418-432. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/bfb0095364

Deploying fault-tolerance and task migration with NetSolve

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