Abstract

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.

Metadata

publication

Concurrency and Computation: Practice and Experience 18 (10), 1187-1199, 2006

year

2006

publication date

2006/8/25

authors

Ewa Deelman, Tevfik Kosar, Carl Kesselman, Miron Livny

link

https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.1001

resource_link

https://research.cs.wisc.edu/htcondor/stork/papers/workflow-ccpe04.pdf

journal

Concurrency and Computation: Practice and Experience

volume

18

issue

10

pages

1187-1199

publisher

John Wiley & Sons, Ltd.