Stream Scheduling
Stream Scheduling is a data movement optimization technique that orchestrates the execution and transfer of data streams in a computational system by prioritizing and timing operations to minimize latency and maximize throughput under resource constraints.
258
Publications
9.7K
Citations
680
Authors
277
Institutions
Publications per year
2017–2026
66
Parents
258
Brian Babcock, Shivnath Babu, Rajeev Motwani et al. · 2003 · 256 citations
T-Storm: Traffic-Aware Online Scheduling in Storm
Jielong Xu, Zhenhua Chen, Jian Tang et al. · 2014 · 198 citations
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277
Eindhoven University of Technology
Eindhoven, The Netherlands
9 h-index
28 publications
627 citations
Georgia Institute of Technology
Atlanta, United States
9 h-index
23 publications
969 citations

Huazhong University of Science and Technology
Wuhan, China
8 h-index
29 publications
856 citations
Stanford University
Stanford, United States
7 h-index
20 publications
2.1K citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
21 publications
1.1K citations
University of California, Berkeley
Berkeley, United States
6 h-index
13 publications
1.3K citations
IBM (United States)
Armonk, United States
5 h-index
7 publications
372 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
5 h-index
6 publications
117 citations
1–8 of 277
TPDS · 9 publications · 241 citations
9
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FGCS · 7 publications · 169 citations
7
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4 publications · 139 citations
4
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PVLDB · 4 publications · 130 citations
4
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Repository · 4 publications · 113 citations
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