An Algebraic Approach for Data-Centric Scientific Workflows

@article{Ogasawara2011AnAA,
  title={An Algebraic Approach for Data-Centric Scientific Workflows},
  author={Eduardo S. Ogasawara and Daniel de Oliveira and Patrick Valduriez and Jonas Dias and F{\'a}bio Porto and Marta Mattoso},
  journal={PVLDB},
  year={2011},
  volume={4},
  pages={1328-1339}
}
Scientific workflows have emerged as a basic abstraction for structuring and executing scientific experiments in computational environments. In many situations, these workflows are computationally and data intensive, thus requiring execution in large-scale parallel computers. However, parallelization of scientific workflows remains low-level, ad-hoc and laborintensive, which makes it hard to exploit optimization opportunities. To address this problem, we propose an algebraic approach (inspired… CONTINUE READING
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