文档介绍：Future puter Systems 25 (2009) 528–540
Contents lists available at ScienceDirect
Future puter Systems
journal homepage: ate/fgcs
Workflows and e-Science: An overview of workflow system features
and capabilities
Ewa Deelman a, Dennis Gannon b, Matthew Shields c, Ian Taylor c,d,∗
a Information Sciences Institute, University of Southern California, USA
b Department puter Science, Indiana University, USA
c School puter Science, Cardiff University, UK
d The Center putation and Technology, LSU, USA
a r t i c l e i n f o a b s t r a c t
Article history: Scientific workflow systems have e a necessary tool for many applications, enabling the
Received 1 December position and execution plex analysis on distributed resources. Today there are many workflow
Received in revised form systems, often with overlapping functionality. A key issue for potential users of workflow systems is the
8 May 2008
need to be able pare the capabilities of the various available tools. There can be confusion about
Accepted 25 June 2008
system functionality and the tools are often selected without a proper functional analysis. In this paper
Available online 10 July 2008
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
Keywords:
Scientific workflow taxonomy provides end users with a mechanism by which they can assess the suitability of workflow in
puting general and how they might use these features to make an informed choice about which workflow system
Computation would be a good choice for their particular application.
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puting
Distributed systems
Cyberinfrastructure
Automation of scientific processes
e-Science
1. Introduction Orchestration refers to the activity of defining the sequence of
tasks needed to manage a business putatio