Parallel Stream Processing
Parallel Stream Processing is a computational paradigm within parallel data management systems that enables the simultaneous processing of continuous, high-volume data streams across multiple processing nodes to achieve improved throughput and reduced latency.
204
Publications
9.3K
Citations
617
Authors
258
Institutions
Publications per year
2017–2026
72
204
Matei Zaharia, Tathagata Das, Haoyuan Li et al. · 2013 · 964 citations · Full text
Derek G. Murray, Frank McSherry, Rebecca Isaacs et al. · 2013 · 651 citations · Full text
Parallel and distributed computing handbook
Choice Reviews Online · 1996 · 257 citations
Online clustering of parallel data streams
Jürgen Beringer, Eyke Hüllermeier · Data & Knowledge Engineering · 2005 · 241 citations
1–5 of 204
617
10
h-index
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
10 publications · 237 citations
10
h-index
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
10 publications · 237 citations
10
h-index
6
h-index
5
h-index
1–5 of 617
258

Pontifícia Universidade Católica do Rio Grande do Sul
Porto Alegre, Brazil
10 h-index
28 publications
614 citations

University of Pisa
Pisa, Italy
10 h-index
27 publications
649 citations
IBM (United States)
Armonk, United States
8 h-index
22 publications
408 citations
Technische Universität Berlin
Berlin, Germany
5 h-index
17 publications
461 citations
ETH Zurich
Zurich, Switzerland
5 h-index
9 publications
374 citations
Stanford University
Stanford, United States
5 h-index
17 publications
621 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
5 publications
276 citations
Argonne National Laboratory
Lemont, United States
4 h-index
8 publications
105 citations
1–8 of 258
PVLDB · 7 publications · 263 citations
7
h-index
TPDS · 5 publications · 200 citations
5
h-index
3 publications · 279 citations
3
h-index
3 publications · 52 citations
3
h-index
3 publications · 100 citations
3
h-index
1–5