A multi-dimensional classification model for scientific workflow characteristics

Authors:
Lavanya Ramakrishnan;Beth Plale
Affiliations:
Lawrence Berkeley National Lab, Berkeley, CA;Indiana University, Bloomington, IN
Venue:
Proceedings of the 1st International Workshop on Workflow Approaches to New Data-centric Science
Year:
2010

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Abstract

Workflows have been used to model repeatable tasks or operations in manufacturing, business process, and software. In recent years, workflows are increasingly used for orchestration of science discovery tasks that use distributed resources and web services environments through resource models such as grid and cloud computing. Workflows have disparate requirements and constraints that affects how they might be managed in distributed environments. In this paper, we present a multi-dimensional classification model illustrated by workflow examples obtained through a survey of scientists from different domains including bioinformatics and biomedical, weather and ocean modeling, astronomy detailing their data and computational requirements. The survey results and classification model contribute to the high level understanding of scientific workflows.