Data Orchestration
Data Orchestration is a data management process that systematically coordinates, schedules, and monitors the execution of interconnected data workflows across distributed systems to ensure efficient, reliable, and timely data movement and transformation.
574
Publications
27.3K
Citations
2.5K
Authors
756
Institutions
Publications per year
2017–2026
182
574
Vinod Kumar Vavilapalli, Arun C. Murthy, Chris Douglas et al. · 2013 · 1.8K citations
S4: Distributed Stream Computing Platform
Leonardo Neumeyer, Bruce Robbins, Anish Nair et al. · 2010 · 905 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 574
2.5K
11
h-index
11
h-index
10
h-index
9
h-index
9
h-index
1–5 of 2.5K
756
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
13 h-index
25 publications
1.7K citations
University of Southern California
Los Angeles, United States
13 h-index
59 publications
2.1K citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
12 h-index
58 publications
2K citations
University of California San Diego
San Diego, United States
12 h-index
41 publications
2.3K citations
Argonne National Laboratory
Lemont, United States
12 h-index
46 publications
2K citations

San Diego Supercomputer Center
San Diego, United States
11 h-index
29 publications
8.6K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
25 publications
726 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
11 h-index
36 publications
976 citations
1–8 of 756
FGCS · 28 publications · 1.4K citations
17
h-index
8 publications · 316 citations
8
h-index
8 publications · 1.9K citations
8
h-index
7 publications · 448 citations
7
h-index
7 publications · 435 citations
7
h-index
1–5