Data Stream Management Systems
Data Stream Management Systems is a computational system that processes continuous, real-time data flows by providing persistent query execution and temporal data handling, distinguishing itself from batch processing systems through its focus on ordered, high-velocity inputs and time-sensitive analysis.
287
Publications
23.8K
Citations
840
Authors
310
Institutions
Publications per year
2017–2026
51
Parents
287
Models and issues in data stream systems
Brian Babcock, Shivnath Babu, Mayur Datar et al. · 2002 · 2.5K citations
Matei Zaharia, Reynold Xin, Patrick Wendell et al. · Communications of the ACM · 2016 · 2.3K citations
Aurora: a new model and architecture for data stream management
Daniel J. Abadi, Don Carney, Ugur �etintemel et al. · The VLDB Journal · 2003 · 1.5K citations
Yih‐Chun Hu, Adrian Perrig, David B. Johnson · 2002 · 1.3K citations
1–5 of 287
840
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310
AT&T (United States)
Bedminster, United States
17 h-index
51 publications
2.6K citations
Purdue University West Lafayette
West Lafayette, United States
13 h-index
45 publications
3.3K citations
IBM (United States)
Armonk, United States
10 h-index
31 publications
806 citations
University of Pittsburgh
Pittsburgh, United States
10 h-index
39 publications
819 citations
Stanford University
Stanford, United States
9 h-index
22 publications
19.9K citations
ETH Zurich
Zurich, Switzerland
8 h-index
16 publications
598 citations
University of California, Berkeley
Berkeley, United States
8 h-index
17 publications
17.2K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
7 h-index
24 publications
816 citations
1–8 of 310
TKDE · 8 publications · 474 citations
8
h-index
PVLDB · 5 publications · 177 citations
5
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4 publications · 996 citations
4
h-index
4 publications · 60 citations
4
h-index
ICDE · 3 publications · 212 citations
3
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1–5