Stream Computation
Stream Computation is a computational paradigm that processes continuous, ordered sequences of data elements in real-time or near real-time, typically with constraints on memory and processing time, distinguishing it from batch computation by its incremental and often irreversible processing of unbounded data streams.
256
Publications
17.6K
Citations
664
Authors
257
Institutions
Publications per year
2017–2026
51
Parents
256
Models and issues in data stream systems
Brian Babcock, Shivnath Babu, Mayur Datar et al. · 2002 · 2.5K citations
The Design of the Borealis Stream Processing Engine
Daniel J. Abadi, Yanif Ahmad, Magdalena Bałazińska et al. · 2005 · 1.2K citations
Models and issues in data stream systems
Brian Babcock, Shivnath Babu, Mayur Datar et al. · 2002 · 746 citations
Derek G. Murray, Frank McSherry, Rebecca Isaacs et al. · 2013 · 651 citations · Full text
Suvajyoti Guha, Nita Mishra, R. Motwani et al. · 2002 · 632 citations
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257
Stanford University
Stanford, United States
12 h-index
55 publications
23.3K citations
AT&T (United States)
Bedminster, United States
10 h-index
18 publications
2K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
22 publications
4.9K citations
IBM (United States)
Armonk, United States
9 h-index
14 publications
583 citations
IBM Research - Almaden
San Jose, United States
6 h-index
8 publications
1.1K citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
6 h-index
8 publications
328 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
7 publications
191 citations

Rice University
Houston, United States
5 h-index
7 publications
908 citations
1–8 of 257
5 publications · 169 citations
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Repository · 5 publications · 84 citations
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TPDS · 4 publications · 178 citations
4
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3 publications · 74 citations
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3 publications · 65 citations
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