Pipeline Scalability
Pipeline Scalability is the inherent capacity of a data pipeline to maintain or improve performance efficiency as the volume, velocity, or variety of data processing demands increase, distinguished from related scalability concepts by its specific focus on end-to-end data workflow adaptability within distributed computing environments.
25
Publications
1.4K
Citations
120
Authors
38
Institutions
Publications per year
2017–2026
11
Parents
25
Flux: an adaptive partitioning operator for continuous query systems
Mehul A. Shah, Joseph M. Hellerstein, Sirish Chandrasekaran et al. · 2004 · 317 citations
1–5 of 25
120
Cincinnati Children's Hospital Medical Center, United States
2 publications · 76 citations
2
h-index
Cincinnati Children's Hospital Medical Center, United States
2 publications · 76 citations
2
h-index
2
h-index
Cincinnati Children's Hospital Medical Center, United States
2 publications · 76 citations
2
h-index
2
h-index
1–5 of 120
38

Cincinnati Children's Hospital Medical Center
Cincinnati, United States
2 h-index
6 publications
228 citations

University of Cincinnati
Cincinnati, United States
2 h-index
6 publications
228 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
124 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
5 publications
275 citations
ETH Zurich
Zurich, Switzerland
1 h-index
2 publications
118 citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
1 h-index
2 publications
114 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
1 h-index
2 publications
56 citations

Allen Institute for Brain Science
Seattle, United States
1 h-index
17 publications
1.1K citations
1–8 of 38
2 publications · 71 citations
2
h-index
Repository · 1 publications · 10 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 62 citations
1
h-index
JCIM · 1 publications · 44 citations
1
h-index
1–5