geographical distributed nodes, is very expensive and call for efficient processing. Moreover, the problem of designing languages and tools for spatial data sets change propagation is relevant, for the shortage of tools for schema evolution, and, in particular, for the limitations of those for spatial data sets. In this paper, we take in account both efficiency and limitations and we propose an instance update language, based on the efficient and popular Map-Reduce Google programming paradigm, which allows to perform in a parallel way a wide category of schema changes. A system embodying the language has been implementing.
A MAPREDUCE FRAMEWORK FOR CHANGE PROPAGATION IN GEOGRAPHIC DATABASES
POLESE, Giuseppe;
2009
Abstract
geographical distributed nodes, is very expensive and call for efficient processing. Moreover, the problem of designing languages and tools for spatial data sets change propagation is relevant, for the shortage of tools for schema evolution, and, in particular, for the limitations of those for spatial data sets. In this paper, we take in account both efficiency and limitations and we propose an instance update language, based on the efficient and popular Map-Reduce Google programming paradigm, which allows to perform in a parallel way a wide category of schema changes. A system embodying the language has been implementing.File in questo prodotto:
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