Distributed Workflow Execution
Distributed Workflow Execution is a workflow orchestration framework that coordinates the execution of interdependent tasks across multiple decentralized computing nodes to enable scalable, fault-tolerant, and parallel processing of data workflows.
340
Publications
16K
Citations
1.1K
Authors
410
Institutions
Publications per year
2017–2026
52
340
Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems
Ewa Deelman, Gurmeet Singh, Mei-Hui Su et al. · Scientific Programming · 2005 · 1.2K citations · Full text
Examining the Challenges of Scientific Workflows
Yolanda Gil, Ewa Deelman, Mark H. Ellisman et al. · Computer · 2007 · 522 citations
Kepler: an extensible system for design and execution of scientific workflows
Chad Berkley, E. Jaeger, Matthew B. Jones et al. · 2004 · 420 citations
1–5 of 340
1.1K
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11
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University of Southern California, United States
11 publications · 395 citations
11
h-index
9
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9
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1–5 of 1.1K
410
University of Southern California
Los Angeles, United States
15 h-index
82 publications
14.5K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
10 h-index
16 publications
509 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
26 publications
720 citations
University of California San Diego
San Diego, United States
10 h-index
27 publications
2.1K citations

University of Edinburgh
Edinburgh, United Kingdom
10 h-index
26 publications
699 citations
HUN-REN Institute for Computer Science and Control
Budapest, Hungary
10 h-index
22 publications
847 citations

Universität Innsbruck
Innsbruck, Austria
9 h-index
27 publications
1.9K citations

San Diego Supercomputer Center
San Diego, United States
9 h-index
26 publications
8.4K citations
1–8 of 410
FGCS · 22 publications · 805 citations
17
h-index
14 publications · 2.5K citations
12
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7 publications · 124 citations
7
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6 publications · 130 citations
6
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5 publications · 282 citations
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