Distributed Scalability
Distributed Scalability is a scalability paradigm that characterizes a system's ability to maintain proportional performance gains as additional computing nodes are incorporated into a distributed architecture, distinguished by its focus on coordinated resource allocation, inter-node communication efficiency, and load balancing across decentralized processing units.
68
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3.1K
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219
Authors
101
Institutions
Publications per year
2017–2026
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68
Scalable Distributed Stream Processing
Mitch Cherniack, Hari Balakrishnan, Magdalena Bałazińska et al. · 2003 · 483 citations
The little engine(s) that could
Josep M. Pujol, Vijay Erramilli, Georgos Siganos et al. · 2010 · 229 citations · Full text
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Korea Advanced Institute of Science and Technology, South Korea
2 publications · 65 citations
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1–5 of 219
101

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
5 publications
413 citations

Cornell University
Ithaca, United States
3 h-index
11 publications
339 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
5 publications
261 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
5 publications
219 citations

Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
3 publications
117 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
179 citations
University of Tennessee at Knoxville
Knoxville, United States
2 h-index
5 publications
189 citations
Telefonica Research and Development
Madrid, Spain
2 h-index
14 publications
2.1K citations
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2 publications · 65 citations
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FGCS · 2 publications · 40 citations
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CCR · 2 publications · 88 citations
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2 publications · 58 citations
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Repository · 1 publications · 15 citations
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