Scheduling for shared window joins over data streams
Summary: Analyzes shared execution of windowed joins in continuous queries, exposing a performance flaw in prior sharing strategies for small windows. Proposes two alternatives and shows MQJ consistently delivers the best performance across workloads. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Moustafa A. Hammad (Purdue University)
- 2. Michael J. Franklin (University of California Berkeley)
- 3. Walid G. Aref (Purdue University)
- 4. Ahmed K. Elmagarmid (Purdue University)
BibTeX Citation
@article{hammad_vldb03,
title = {{Scheduling for shared window joins over data streams}},
author = {Hammad, Moustafa A. and Franklin, Michael J. and Aref, Walid G. and Elmagarmid, Ahmed K.},
journal = {PVLDB},
series = {{VLDB} '03},
doi = {10.1016/B978-012722442-8/50034-3},
url = {https://doi.org/10.1016/B978-012722442-8/50034-3},
year = {2003}
}
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