Data Pipeline Orchestration
Data Pipeline Orchestration is a workflow orchestration method that systematically coordinates, schedules, and manages the execution of interdependent data processing tasks across distributed systems to ensure reliable, scalable, and reproducible data movement and transformation within a data pipeline.
12
Publications
295
Citations
96
Authors
47
Institutions
Publications per year
2017–2026
7
12
TERAFLUX: Harnessing dataflow in next generation teradevices
Roberto Giorgi, Rosa M. Badía, François Bodin et al. · Microprocessors and Microsystems · 2014 · 66 citations
Harald Foidl, Valentina Golendukhina, Rudolf Ramler et al. · Journal of Systems and Software · 2023 · 33 citations · Full text
Huaglory Tianfield · 2018 · 28 citations · Full text
Big Data Pipelines on the Computing Continuum: Tapping the Dark Data
Dumitru Roman, Radu Prodan, Nikolay Nikolov et al. · Computer · 2022 · 25 citations · Full text
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47

Sapienza University of Rome
Rome, Italy
1 h-index
2 publications
50 citations

KTH Royal Institute of Technology
Stockholm, Sweden
1 h-index
1 publications
25 citations
Unidades Centrales Científico-Técnicas
Madrid, Spain
1 h-index
1 publications
14 citations
University of Cyprus
Nicosia, Cyprus
1 h-index
2 publications
132 citations
Infrared Processing and Analysis Center
Pasadena, United States
1 h-index
1 publications
24 citations
Institute of High Energy Physics
Beijing, China
1 h-index
9 publications
144 citations
Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca
Milan, Italy
1 h-index
1 publications
14 citations
Robert Bosch (India)
Bengaluru, India
1 h-index
1 publications
25 citations
1–8 of 47
FGCS · 2 publications · 67 citations
2
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1 publications · 15 citations
1
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1 publications · 25 citations
1
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1 publications · 16 citations
1
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MICPRO · 1 publications · 66 citations
1
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