Scalable Stream Analytics is a computational framework within real-time analytics that enables the continuous processing and analysis of high-volume data streams while dynamically adjusting resource allocation to maintain performance efficiency and low-latency responsiveness under varying workloads.
51
Publications
5.2K
Citations
215
Authors
88
Institutions
Publications per year
2017–2026
24
Parents
Publications
51
Matei Zaharia, Reynold Xin, Patrick Wendell et al. · Communications of the ACM · 2016 · 2.3K citations
Sanjeev Kulkarni, Nikunj Bhagat, Maosong Fu et al. · 2015 · 547 citations · Full text
Ben Zhang, Xin Jin, Sylvia Ratnasamy et al. · 2018 · 219 citations
1–5 of 51
Authors
215
- SM
3
h-index
- AB
3
h-index
- HB
3
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- JR
3
h-index
- YM
2
h-index
1–5 of 215
Institutions
88
University of Michigan
Ann Arbor, United States
3 h-index
4 publications
288 citations
University of California, Berkeley
Berkeley, United States
3 h-index
13 publications
17.3K citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
76 citations
University of Chicago
Chicago, United States
2 h-index
5 publications
2.8K citations
Ulsan National Institute of Science and Technology
Ulsan, South Korea
2 h-index
2 publications
38 citations
Aalborg University
Aalborg, Denmark
2 h-index
3 publications
50 citations
New York University
New York, United States
2 h-index
2 publications
26 citations
Queen's University
Kingston, Canada
2 h-index
5 publications
148 citations
1–8 of 88
Venues
- Proceedings of the VLDB Endowment
PVLDB · 3 publications · 149 citations
3
h-index
- arXiv (Cornell University)
Repository · 3 publications · 55 citations
3
h-index
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 2 publications · 43 citations
2
h-index
- KTH Publication Database DiVA (KTH Royal Institute of Technology)
Repository · 1 publications · 11 citations
1
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
1 publications · 108 citations
1
h-index
1–5