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Dendrite: Bolt-on Adaptivity for Data Systems

Summary: Dendrite is a bolt-on adaptive layer for data systems, handling workload variability by reallocating resources and adjusting processing to reduce contention. It offers a metric-to-rule framework with UDF-driven adaptations, demonstrated on PostgreSQL. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6099
Venue
SIGMOD
Year
2021
Pagerank
5.5181056e-05
Overall Rank
7,920 | 45.67%
DOI
10.1145/3448016.3452755

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{glasbergen_sigmod21,
        title = {{Dendrite: Bolt-on Adaptivity for Data Systems}},
        author = {Glasbergen, Brad and Wu, Fangyu and Daudjee, Khuzaima},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452755},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452755},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,324 Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry 2024 VLDB 5.093636e-05
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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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