Stream Processing Performance
Stream Processing Performance is a quantitative measure of the efficiency and effectiveness with which a distributed system processes continuous data streams, distinguished by its focus on latency, throughput, and accuracy in real-time analytics under dynamic workloads.
93
Publications
4.4K
Citations
332
Authors
133
Institutions
Publications per year
2017–2026
43
93
Imagine: media processing with streams
Brucek Khailany, William J. Dally, Ujval J. Kapasi et al. · IEEE Micro · 2001 · 354 citations
Benchmarking Streaming Computation Engines: Storm, Flink and Spark Streaming
Sanket Chintapalli, Derek Dagit, Bobby Evans et al. · 2016 · 294 citations
Inside the New Coolstreaming: Principles, Measurements and Performance Implications
B. Li, Sishen Xie, Yuanfeng Qu et al. · 2008 · 270 citations
CommBench-a telecommunications benchmark for network processors
Tilman Wolf, M. Franklin · 2002 · 205 citations · Full text
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133
Stanford University
Stanford, United States
5 h-index
33 publications
4.3K citations
Technische Universität Berlin
Berlin, Germany
3 h-index
7 publications
591 citations

Rice University
Houston, United States
3 h-index
4 publications
459 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
4 publications
214 citations

Pontifícia Universidade Católica do Rio Grande do Sul
Porto Alegre, Brazil
2 h-index
5 publications
170 citations

Imperial College London
London, United Kingdom
2 h-index
4 publications
276 citations
IBM (United States)
Armonk, United States
2 h-index
10 publications
1.4K citations
Simon Fraser University
Burnaby, Canada
2 h-index
2 publications
300 citations
1–8 of 133
TPDS · 4 publications · 181 citations
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FGCS · 4 publications · 136 citations
4
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2 publications · 42 citations
2
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PVLDB · 2 publications · 73 citations
2
h-index
2 publications · 79 citations
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