Streaming Queries over Streaming Data
Summary: PSoup unifies ad hoc and continuous stream queries symmetrically: new queries apply to retained data, while new data feeds existing queries. Decoupled computation and delivery support intermittent connectivity, leveraging adaptive query processing. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sirish Chandrasekaran (University of California Berkeley)
- 2. Michael J. Franklin (University of California Berkeley)
BibTeX Citation
@article{chandrasekaran_vldb02,
title = {{Streaming Queries over Streaming Data}},
author = {Chandrasekaran, Sirish and Franklin, Michael J.},
journal = {PVLDB},
series = {{VLDB} '02},
doi = {10.1016/B978-155860869-6/50026-3},
url = {https://doi.org/10.1016/B978-155860869-6/50026-3},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 5 | 8,720 | Robust Real-time Query Processing with QStream | 2005 | VLDB |
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| 7 | 722 | Adaptive Filters for Continuous Queries over Distributed Data Streams | 2003 | SIGMOD |
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| 9 | 7,284 | Streaming in a Connected World: Querying and Tracking Distributed Data Streams | 2007 | SIGMOD |
| 10 | 8,663 | Scalable Delivery of Stream Query Result | 2009 | VLDB |