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Can I read An Algebraic Approach for Data-centric Scientific Workflows on EtoBox?
An Algebraic Approach for Data-centric Scientific Workflows by Eduardo Ogasawara; Jonas Dias; Daniel de Oliveira; Fábio Porto; Patrick Valduriez; Marta Mattoso is a Computer Science article available to read on EtoBox.
What is An Algebraic Approach for Data-centric Scientific Workflows about?
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 labor-intensive, which makes it hard to exploit optimization opportunities. To address this problem, we propose an algebraic approach (inspired by relational algebra) and a parallel execution model that enable automatic optimization of scientific workflows. We conducted a thorough validation of our approach using both a real oil exploitation application and synthetic data scenarios. The experiments were run in Chiron, a data-centric scientific workflow engine implemented to support our algebraic approach. Our experiments demonstrate performance improvements of up to 226% compared to an ad-hoc workflow implementation.
Who reads An Algebraic Approach for Data-centric Scientific Workflows?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Eduardo Ogasawara; Jonas Dias; Daniel de Oliveira; Fábio Porto; Patrick Valduriez; Marta Mattoso
- Publisher
- ACM
- Published
- 2011
- Language
- EN
- Field
- Computer Science (Physical Sciences)