Abstract
Grids are by nature highly dynamic and heterogeneous environments, and this is specially the case for the performance of the interconnection links between grid resources. Therefore, grid resource selection should take into account the proximity of the computational resources to the needed data in order to reduce the cost of file staging. This fact is specially relevant in the case of adaptive job execution, since job migration requires the transfer of large restart files between the compute hosts. In this paper, we discuss the extension of the GridWay framework to also consider dynamic resource proximity to select grid resources, and to decide if job migration is feasible and worthwhile. The benefits of the new resource selector will be demonstrated for the adaptive execution of a computational fluid dynamics (CFD) code.
This research was supported by Ministerio de Ciencia y Tecnología (research grant TIC 2003-01321) and Instituto Nacional de Técnica Aeroespacial (INTA).
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Huedo, E., Montero, R.S., Llorente, I.M. (2004). Experiences on Grid Resource Selection Considering Resource Proximity. In: Fernández Rivera, F., Bubak, M., Gómez Tato, A., Doallo, R. (eds) Grid Computing. AxGrids 2003. Lecture Notes in Computer Science, vol 2970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24689-3_1
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DOI: https://doi.org/10.1007/978-3-540-24689-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21048-1
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