Abstract
The promise of the grid is that it will enable public access and sharing of immense amounts of computational and data resources among dynamic coalitions of individuals and institutions. However, the current grid solutions make several limiting assumptions that curtail their widespread adoption in the emerging decentralized, resource constrained, embedded, autonomic, and mobile (DREAM) environments: they are designed primarily for highly com plex scientific problems, and therefore require powerful hardware and reliable network connectivity; additionally, they provide no application design sup port to grid users (e.g., scientists). To address these limitations, we present GLIDE, a prototype light-weight, data-intensive middleware infrastructure that enables access to the robust data and computational power of the grid on DREAM platforms. We illustrate GLIDE on an example file sharing application. We discuss our early experience with GLIDE and present a set of open research questions.
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Mattmann, C.A., Malek, S., Beckman, N., Mikic-Rakic, M., Medvidovic, N., Crichton, D.J. (2005). GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds) Advances in Grid Computing - EGC 2005. EGC 2005. Lecture Notes in Computer Science, vol 3470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508380_9
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DOI: https://doi.org/10.1007/11508380_9
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