Load Shedding in a Data Stream Manager
Summary: Dynamic load shedding in a Data Stream Manager via insertable/removable drop operators in query plans. Two drop types—random fraction and content-based importance—plus algorithms for when, where, and how much to shed, with experiments showing QoS recovery and bounded accuracy loss. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nesime Tatbul (Brown University)
- 2. Uğur Çetintemel (Brown University)
- 3. Stan Zdonik (Brown University)
- 4. Mitch Cherniack (Brandeis University)
- 5. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@article{tatbul_vldb03,
title = {{Load Shedding in a Data Stream Manager}},
author = {Tatbul, Nesime and Çetintemel, Uğur and Zdonik, Stan and Cherniack, Mitch and Stonebraker, Michael},
journal = {PVLDB},
series = {{VLDB} '03},
doi = {10.1016/B978-012722442-8/50035-5},
url = {https://doi.org/10.1016/B978-012722442-8/50035-5},
year = {2003}
}
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