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What makes workflows work in an opportunistic environment?
Author(s) -
Deelman Ewa,
Kosar Tevfik,
Kesselman Carl,
Livny Miron
Publication year - 2005
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.1001
Subject(s) - workflow , computer science , executor , component (thermodynamics) , workflow technology , workflow management system , focus (optics) , stork , workflow engine , software engineering , process (computing) , resource (disambiguation) , event driven process chain , business process , database , distributed computing , programming language , work in process , business process management , engineering , operations management , business , ecology , computer network , finance , biology , optics , thermodynamics , physics
In this paper, we examine the issues of workflow mapping and execution in opportunistic environments such as the Grid. As applications become ever more complex, the process of choosing the appropriate resources and successfully executing the application components becomes ever more difficult. This may include extension or reduction of the initial workflow mapping as necessary for the actual execution. In this paper, we focus on the interplay between a workflow‐mapping component that plans the high‐level resource assignments and the workflow executor that oversees the component execution. We concentrate particularly on issues of data management and we draw from the experiences with mapping and execution systems: Pegasus, DAGMan and Stork. Copyright © 2005 John Wiley & Sons, Ltd.