Dataflow Operators
Dataflow Operators is a computational construct within dataflow modeling that represents elementary functions or transformations which process incoming data tokens and produce outgoing data tokens, distinguished by their role in defining the operational semantics of a dataflow graph through explicit input-output dependencies.
94
Publications
4.2K
Citations
273
Authors
100
Institutions
Publications per year
2017–2026
21
Parents
94
Flux: an adaptive partitioning operator for continuous query systems
Mehul A. Shah, Joseph M. Hellerstein, Sirish Chandrasekaran et al. · 2004 · 317 citations
Schedule optimization for data processing flows on the cloud
Herald Kllapi, Eva Sitaridi, Manolis M. Tsangaris et al. · 2011 · 146 citations
1–5 of 94
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University of Maryland, College Park, United States
7 publications · 119 citations
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1–5 of 273
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University of California, Berkeley
Berkeley, United States
7 h-index
22 publications
1.9K citations

Rice University
Houston, United States
5 h-index
19 publications
491 citations
University of Maryland, College Park
College Park, United States
4 h-index
11 publications
160 citations

National and Kapodistrian University of Athens
Athens, Greece
4 h-index
19 publications
981 citations
IBM (United States)
Armonk, United States
3 h-index
4 publications
134 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
11 publications
166 citations
University of California, Irvine
Irvine, United States
3 h-index
4 publications
95 citations
Institut d'Électronique et des Technologies du numéRique
Rennes, France
3 h-index
8 publications
511 citations
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4 publications · 56 citations
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3 publications · 69 citations
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PVLDB · 3 publications · 95 citations
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2 publications · 40 citations
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TKDE · 2 publications · 421 citations
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