Low-latency Data Pipelines
Low-Latency Data Pipelines is a data processing architecture designed to minimize delay in transmitting and transforming data from source to destination, distinguishing itself by enabling near-instantaneous data availability and processing for time-sensitive analytical and operational workloads.
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1.2K
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127
Authors
65
Institutions
Publications per year
2017–2026
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Lixiang Ao, Liz Izhikevich, Geoffrey M. Voelker et al. · 2018 · 173 citations · Full text
Optimal latency-throughput tradeoffs for data parallel pipelines
Jaspar Subhlok, Gary Vondran · 1996 · 100 citations · Full text
Daniel Crankshaw, Gur-Eyal Sela, Xiangxi Mo et al. · 2020 · 96 citations · Full text
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Georgia Institute of Technology
Atlanta, United States
2 h-index
10 publications
276 citations

Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
4 publications
92 citations
CESNET, zájmové sdružení právnických osob
Prague, Czechia
2 h-index
4 publications
64 citations
University of California San Diego
San Diego, United States
2 h-index
7 publications
1.2K citations
The Ohio State University
Columbus, United States
2 h-index
8 publications
135 citations
Brno University of Technology
Brno, Czechia
2 h-index
2 publications
32 citations
University of California, Berkeley
Berkeley, United States
2 h-index
6 publications
406 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
7 publications
92 citations
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1 publications · 17 citations
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1 publications · 96 citations
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1 publications · 30 citations
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