Abstract
One of the major advantages of Grid Computing (GC) technology is the use of geographically distributed resources. Nevertheless, just like any kind of systems, GC environments have a great problem: I/O system is the bottleneck of the whole system. In order to obtain a better performance, it is necessary and advisable to improve the data access. This problem could be solved by introducing a parallel data access to grid resources.
Since GC consists of many resources and some of them are clusters, it would be possible to exploit the parallelism among the different nodes of each cluster. We propose to use two levels of parallelism in a Grid environment to improve the data access and therefore the whole system performance. The low level will be represented by the nodes of each cluster, and the high level will include all the clusters. This paper shows a new architecture for grids, which is based on the parallel file system MAPFS, designed for high performance clusters.
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Sánchez, A., Pérez, M.S., Robles, V., Peña, J.M., Herrero, P. (2005). A Flexible Two-Level I/O Architecture for Grids. In: Herrero, P., Pérez, M.S., Robles, V. (eds) Scientific Applications of Grid Computing. SAG 2004. Lecture Notes in Computer Science, vol 3458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11423287_5
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DOI: https://doi.org/10.1007/11423287_5
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