Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams
Summary: Considers sliding-window multi-join processing for continuous streams; presents multi-way incremental NLJs and hash joins with in-memory windows and join-order heuristics. Hash joins outperform NLJs for equi-joins; cost depends on eviction strategies for sliding windows. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lukasz Golab (University of Waterloo)
- 2. M. Tamer Özsu (University of Waterloo)
BibTeX Citation
@article{golab_vldb03,
title = {{Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams}},
author = {Golab, Lukasz and Özsu, M. Tamer},
journal = {PVLDB},
series = {{VLDB} '03},
doi = {10.1016/B978-012722442-8/50051-3},
url = {https://doi.org/10.1016/B978-012722442-8/50051-3},
year = {2003}
}
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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 136 | Join Synopses for Approximate Query Answering | 1999 | SIGMOD | 0.00030123303 |
| 1,656 | Characterizing Memory Requirements for Queries over Continuous Data Streams | 2002 | PODS | 0.00010097487 |
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