Stream Processing Scalability
Stream Processing Scalability is a system-level performance characteristic that denotes the capacity of a stream processing architecture to maintain bounded latency and throughput as input data rates increase, distinguished by its focus on real-time data flow handling under dynamic and large-scale workloads.
141
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11.6K
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428
Authors
159
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2017–2026
51
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141
The Design of the Borealis Stream Processing Engine
Daniel J. Abadi, Yanif Ahmad, Magdalena Bałazińska et al. · 2005 · 1.2K citations
Matei Zaharia, Tathagata Das, Haoyuan Li et al. · 2013 · 964 citations · Full text
Ankit Toshniwal, Siddarth Taneja, Amit K. Shukla et al. · 2014 · 858 citations
Derek G. Murray, Frank McSherry, Rebecca Isaacs et al. · 2013 · 651 citations · Full text
Greg Humphreys, Mike Houston, Ren Ng et al. · 2002 · 561 citations
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159
IBM (United States)
Armonk, United States
11 h-index
37 publications
4.3K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
6 h-index
20 publications
1.8K citations
Technische Universität Berlin
Berlin, Germany
6 h-index
19 publications
1.1K citations
Stanford University
Stanford, United States
5 h-index
17 publications
3.4K citations

Christian-Albrechts-Universität zu Kiel
Kiel, Germany
4 h-index
7 publications
118 citations
Indiana University Bloomington
Bloomington, United States
4 h-index
11 publications
176 citations
University of California, Berkeley
Berkeley, United States
4 h-index
12 publications
6.3K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
5 publications
499 citations
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PVLDB · 8 publications · 418 citations
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TPDS · 4 publications · 656 citations
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2 publications · 38 citations
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FGCS · 2 publications · 62 citations
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2 publications · 73 citations
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