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On Fault Tolerance of Resources in Computational Grids

Authors: Arindam Das and Ajanta De Sarkar;

On Fault Tolerance of Resources in Computational Grids

Abstract

International Journal of Grid Computing & Applications (IJGCA) ISSN : 0976-9404 [Online]; 2229-3949 [Print] Article Title: ON FAULT TOLERANCE OF RESOURCES IN COMPUTATIONAL GRIDS Arindam Das and Ajanta De Sarkar ABSTRACT Grid computing or computational grid is always a vast research field in academic, as well as in industry also. Computational grid provides resource sharing through multi-institutional virtual organizations for dynamic problem solving. Various heterogeneous resources of different administrative domain are virtually distributed through different network in computational grids. Thus any type of failure can occur at any point of time and job running in grid environment might fail. Hence fault tolerance is an important and challenging issue in grid computing as the dependability of individual grid resources may not be guaranteed. In order to make computational grids more effective and reliable fault tolerant system is necessary. The objective of this paper is to review different existing fault tolerance techniques applicable in grid computing. This paper presents state of the art of various fault tolerance technique and comparative study of the existing algorithms. KEYWORDS Component, Computational grids, Fault tolerance, Failure, Checkpointing For More details please visit http://www.airccse.org/journal/ijgca/ijgca.html Original Source URL: http://airccse.org/journal/ijgca/papers/3312ijgca01.pdf

Keywords

Component, Computational grids, Fault tolerance, Failure, Checkpointing

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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