Abstract

Computational workflows have recently emerged as an effective paradigm to manage large-scale distributed scientific computations. Workflow systems can automate many execution-level details and provide assistance in composing and validating workflows. However, there is still a significant effort involved in creating these workflows since they often represent collaborative and exploratory science experiments. Therefore, current practice is effective in producing results but not cost-effective for widespread adoption. Drawing from our previous research in computational workflows across scientific disciplines, this paper analyzes the tasks and overall process for designing these workflows. We discuss software engineering methodologies and their relevance to creating workflows as a unique kind of software artifact. We also discuss our ongoing work to make workflow applications more cost effective and lower the …

Date

June 25, 2007

Authors

Yolanda Gil, Pedro A González-Calero, Ewa Deelman

Book

Proceedings of the 2nd workshop on Workflows in support of large-scale science

Pages

53-62