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Workflows and e-Science: An overview of workflow system features and capabilities

Deelman, Ewa, Gannon, Dennis, Shields, Matthew Simon and Taylor, Ian James 2009. Workflows and e-Science: An overview of workflow system features and capabilities. Future Generation Computer Systems 25 (5) , pp. 528-540. 10.1016/j.future.2008.06.012

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Abstract

Scientific workflow systems have become a necessary tool for many applications, enabling the composition and execution of complex analysis on distributed resources. Today there are many workflow systems, often with overlapping functionality. A key issue for potential users of workflow systems is the need to be able to compare the capabilities of the various available tools. There can be confusion about system functionality and the tools are often selected without a proper functional analysis. In this paper we extract a taxonomy of features from the way scientists make use of existing workflow systems and we illustrate this feature set by providing some examples taken from existing workflow systems. The taxonomy provides end users with a mechanism by which they can assess the suitability of workflow in general and how they might use these features to make an informed choice about which workflow system would be a good choice for their particular application.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Scientific workflow; Grid computing; Computation; Web services; Distributed computing; Distributed systems; Cyberinfrastructure; Automation of scientific processes; e-Science
Publisher: Elsevier
ISSN: 0167-739X
Last Modified: 05 Nov 2017 00:03
URI: http://orca-mwe.cf.ac.uk/id/eprint/14250

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