Abstract
Domain scientists synthesize different data and computing resources to solve their scientific problems. Making use of distributed execution within scientific workflows is a growing and promising way to achieve better execution performance and efficiency. This paper presents a high-level distributed execution framework, which is designed based on the distributed execution requirements identified within the Kepler community. It also discusses mechanisms to make the presented distributed execution framework easy-to-use, comprehensive, adaptable, extensible and efficient. © 2008 IEEE.
Cite
CITATION STYLE
Wang, J., Altintas, I., Berkley, C., Gilbert, L., & Jones, M. B. (2008). A high-level distributed execution framework for scientific workflows. In Proceedings - 4th IEEE International Conference on eScience, eScience 2008 (pp. 634–639). https://doi.org/10.1109/eScience.2008.166
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