The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Distributed multivariate regression using wavelet-based collective data mining
Journal of Parallel and Distributed Computing - Special issue on high-performance data mining
Distributed frameworks and parallel algorithms for processing large-scale geographic data
Parallel Computing - Special issue: High performance computing with geographical data
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We argue that the properties of online data make it effectively immovable. Massively parallel computations involving such data must therefore be constructed in a completely different way - one that replaces the processor-centric assumptions that underlie almost all programming models by datacentric assumptions. We discuss the implications of this change for grid architectures and their programming models.